National Library of Energy BETA

Sample records for annual daily traffic

  1. The Impact of Annual Average Daily Traffic on Highway Runoff Pollutant Concentrations

    E-Print Network [OSTI]

    Kayhanian, Masoud; Singh, Amardeep; Suverkropp, Claus; Borroum, Steve

    2002-01-01

    Cadmium Chromium Copper Lead Nickel Zinc Nutrients Ammonia (N) Nitrate (Cadmium Chromium Copper Lead Nickel Zinc Nutrients Ammonia-N Nitrate-Cadmium Chromium Copper Lead Nickel Zinc Nutrients Ammonia (N) Nitrate (

  2. Variability in continuous traffic monitoring data

    SciTech Connect (OSTI)

    Wright, T.; Hu, P.S.; Young, J.

    1996-07-01

    Each state in the United States can be viewed as a universe of road segments. For each road segment in each state, it is desired to know various traffic characteristics based on count data, classification count data, and weigh-in-motion data. These data are absolutely essential for highway design, maintenance, safety, and planning. Given no cost constraints, each road segment would be continuously monitored every day of the year. However, in practice, a few road segments are monitored continuously every day of the year to produce annual characteristics of traffic flow. The remaining road segments are monitored for one or two days each year, and this resulting data are `adjusted` (using factors based on data collected from the continuously monitored road segments) to produce estimates of annual characteristics. With this general approach, each state strives to provide estimates of annual characteristics for each road segment within its jurisdiction. In 1985, the Federal Highway Administration (FHWA) published the Traffic Monitoring Guide to assist states in achieving this end. As with almost any data collection effort, the monitoring data suffers from errors from many sources. In this paper, we report some empirical findings in a research project sponsored by the FHWA. This research project studied the variability in the traffic data from the continuously monitored road segments from state(s) and, the extent to which this variability is transferred to and affects the precision of the data produced from the road segments which are monitored only one or two days each year. The ultimate hope is that states will eventually be able to not only publish an estimate of a characteristic such as Average Annual Daily Traffic (AADT) for each road segment, but also that each estimate will be accompanied by a statement expressing how good the estimate is in terms of its estimated variability or precision, which will likely be expressed as a coefficient of variation.

  3. Street-based Topological Representations and Analyses for Predicting Traffic Flow in GIS

    E-Print Network [OSTI]

    Jiang, Bin

    2007-01-01

    It is well received in the space syntax community that traffic flow is significantly correlated to a morphological property of streets, which are represented by axial lines, forming a so called axial map. The correlation co-efficient (R square value) approaches 0.8 and even a higher value according to the space syntax literature. In this paper, we study the same issue using the Hong Kong street network and the Hong Kong Annual Average Daily Traffic (AADT) datasets, and find surprisingly that street-based topological representations (or street-street topologies) tend to be better representations than the axial map. In other words, vehicle flow is correlated to a morphological property of streets better than that of axial lines. Based on the finding, we suggest the street-based topological representations as an alternative GIS representation, and the topological analyses as a new analytical means for geographic knowledge discovery.

  4. In The Fourth Workshop on Agents in Traffic and Transportation (ATT 06), Hakodate, Japan, May 2006.

    E-Print Network [OSTI]

    Stone, Peter

    ], annual time spent waiting in traffic has increased from 16 hours per capita to 46 hours per capita since 1982. In the same period, the annual financial cost of traffic congestion has swollen from $14 billion improvements each year, collisions cost the United States over $230 billion annually [10]. Globally, automo

  5. In The Fourth Workshop on Agents in Traffic and Transportation (ATT 06), Hakodate, Japan, May 2006.

    E-Print Network [OSTI]

    Stone, Peter

    capita since 1982. In the same period, the annual financial cost of traffic congestion has swollen from.S. cities [20], annual time spent waiting in traffic has increased from 16 hours per capita to 46 hours per­ torically made gradual improvements each year, collisions cost the United States over $230 billion annually

  6. Traffic-related air pollution exposures and changes in heart rate variability in Mexico City: A panel study

    E-Print Network [OSTI]

    2013-01-01

    to traffic-related air pollution and the risk of coronaryof particulate air pollution. Environ Health Perspect 2001,between ambient air pollution and daily mortality among

  7. Modeling Traffic Flow Emissions

    E-Print Network [OSTI]

    Cappiello, Alessandra

    2002-09-17

    The main topic of this thesis is the development of light-duty vehicle dynamic emission models and their integration with dynamic traffic models. Combined, these models

  8. SPACE DAILY SPACE WAR TERRA DAILY MARS DAILY SPACE MART SPACE TRAVEL World's Smallest Universal Material

    E-Print Network [OSTI]

    Espinosa, Horacio D.

    SPACE DAILY SPACE WAR TERRA DAILY MARS DAILY SPACE MART SPACE TRAVEL NANO TECH World's Smallest, professor of mechanical Get Our Free Newsletters Via Email Space - War - Earth - Energy - China your email yes Search All Of Our Sites In One Search SpaceDaily - SpaceWar - TerraDaily Search Horacio D

  9. air traffic the polytechnic school

    E-Print Network [OSTI]

    air traffic management the polytechnic school innovation.asu.edu #12;undergraduate degree program B.S., air traffic management Our undergraduate air traffic management program offers students exceptional training and state-of-the-art air traffic control simulators to enhance and reinforce classroom study. You

  10. The Physics of Traffic and Regional Development

    E-Print Network [OSTI]

    Helbing, Dirk

    2013-01-01

    This contribution summarizes and explains various principles from physics which are used for the simulation of traffic flows in large street networks, the modeling of destination, transport mode, and route choice, or the simulation of urban growth and regional development. The methods stem from many-particle physics, from kinetic gas theory, or fluiddynamics. They involve energy and entropy considerations, transfer the law of gravity, apply cellular automata and require methods from evolutionary game theory. In this way, one can determine interaction forces among driver-vehicle units, reproduce breakdowns of traffic including features of synchronized congested flow, or understand changing usage patterns of alternative roads. One can also describe daily activity patterns based on decision models, simulate migration streams, and model urban growth as a particular kind of aggregation process.

  11. Climate Change, Mortality, and Adaptation: Evidence from Annual Fluctuations in Weather in the US

    E-Print Network [OSTI]

    Greenstone, Michael

    Using random year-to-year variation in temperature, we document the relationship between daily temperatures and annual mortality rates and daily temperatures and annual residential energy consumption. Both relationships ...

  12. Traffic of Molecular Motors

    E-Print Network [OSTI]

    Stefan Klumpp; Melanie J. I. Müller; Reinhard Lipowsky

    2005-12-06

    Molecular motors perform active movements along cytoskeletal filaments and drive the traffic of organelles and other cargo particles in cells. In contrast to the macroscopic traffic of cars, however, the traffic of molecular motors is characterized by a finite walking distance (or run length) after which a motor unbinds from the filament along which it moves. Unbound motors perform Brownian motion in the surrounding aqueous solution until they rebind to a filament. We use variants of driven lattice gas models to describe the interplay of their active movements, the unbound diffusion, and the binding/unbinding dynamics. If the motor concentration is large, motor-motor interactions become important and lead to a variety of cooperative traffic phenomena such as traffic jams on the filaments, boundary-induced phase transitions, and spontaneous symmetry breaking in systems with two species of motors. If the filament is surrounded by a large reservoir of motors, the jam length, i.e., the extension of the traffic jams is of the order of the walking distance. Much longer jams can be found in confined geometries such as tube-like compartments.

  13. 1 SIDE CONSTRAINED TRAFFIC EQUILIBRIUM MODELS---TRAFFIC

    E-Print Network [OSTI]

    Patriksson, Michael

    i #12; #12; 1 SIDE CONSTRAINED TRAFFIC EQUILIBRIUM MODELS---TRAFFIC MANAGEMENT THROUGH LINK TOLLS in the inelastic demand case; this fact enables the traffic manager to choose a toll scheme which satisfies flow restrictions as side constraints. The set of toll prices obtained is not necessarily unique

  14. LUNAR SOIL SIMULATION TRAFFICABILITY PARAMETERS

    E-Print Network [OSTI]

    Rathbun, Julie A.

    LUNAR SOIL SIMULATION and TRAFFICABILITY PARAMETERS by W. David Carrier, III Lunar Geotechnical.0 RECOMMENDED LUNAR SOIL TRAFFICABILITY PARAMETERS Table 9.14 in the Lunar Sourcebook (Carrier et al. 1991, p. 529) lists the current recommended lunar soil trafficability parameters: bc = 0.017 N/cm2 bN = 35° K

  15. Hybrid Traffic Data Collection Roadmap: Pilot Procurement of Third-Party Traffic Data

    E-Print Network [OSTI]

    Alexandre, Bayen

    2013-01-01

    TRAFFIC DATA COLLECTION ROADMAP: PILOT PROCUREMENT OF THIRD-TRAFFIC DATA COLLECTION ROADMAP: PILOT PROCUREMENT OF THIRD-Traffic Data Collection Roadmap project (Task Orders 1 and

  16. Transport growth in Bangkok: Energy, environment, and traffic congestion. Workshop proceedings

    SciTech Connect (OSTI)

    Philpott, J.

    1995-07-01

    Bangkok, the capital of Thailand, is a physically and economically complexcity with a complicated transport system. With daily traffic congestion averaging 16 hours, the air quality is such that to breathe street level pollution for 8 eight hours is roughly equivalent to smoking nine cigarettes per day. Estimates suggest idling traffic costs up to $1.6 billion annually. Energy use within the transport sector is on a steady rise with an estimated increase in 11 years of two and one half times. Severe health impacts have begun to effect many residents - young children and the elderly being particularly vulnerable. Bangkok`s air quality and congestion problems are far from hopeless. Great potential exists for Bangkok to remedy its transport-related problems. The city has many necessary characteristics that allow an efficient, economical system of transport. For example, its high density level makes the city a prime candidate for an efficient system of mass transit and the multitude and close proximity of shops, street vendors, restaurants, and residential areas is highly conducive to walking and cycling. Technical knowledge and capacity to devise and implement innovative policies and projects to address air quality and congestion problems is plentiful. There is also consensus among Bangkokians that something needs to be done immediately to clear the air and the roads. However, little has been done. This report proposes a new approach to transport planning for Bangkok that integrates consideration of ecological, social, and financial viability in the process of making decisions regarding managing existing infrastructure and investments in new infrastructure. Selected papers have been indexed separately for inclusion in the Energy Science and Technology Database.

  17. Real-Time Traffic Maps

    E-Print Network [OSTI]

    Goldsberry, Kirk Patrick

    2007-01-01

    Philosophy in Geography by Kirk Patrick Goldsberry Committee2007 The dissertation of Kirk Patrick Goldsberry isTraffic Maps Copyright © 2007 by Kirk Patrick Goldsberry iii

  18. 2001 annual report 2001 annual report

    E-Print Network [OSTI]

    New Mexico, University of

    2001 annual report 2001 annual report 2001 annual report 2001 annual report 2001 annual report 2001 annual report 2001 annual report 2001 annual reportelectrical & computer engineering 2001 annual report the university of new mexico department of 2001 annual report 2001 annual report 2001 annual report 2001 annual

  19. Wireless sensor networks for measuring traffic

    E-Print Network [OSTI]

    Varaiya, Pravin

    Wireless sensor networks for measuring traffic University of California, Berkeley Sing Yiu Cheung, Sinem Coleri, and Pravin Varaiya 2 Outline · Traffic measurement · Wireless Sensor Networks · Vehicle wireless sensor networks compete? 7 Outline · Traffic measurement · Wireless Sensor Networks · Vehicle

  20. Internet Traffic Measurement Carey Williamson

    E-Print Network [OSTI]

    Williamson, Carey

    Internet Traffic Measurement Carey Williamson Department of Computer Science University of Calgary in the design, testing, and evaluation of Internet protocols and applications. The article begins with some background information on Internet traffic measurement, and then proceeds to discuss the "tools of the trade

  1. Traffic information computing platform for big data

    SciTech Connect (OSTI)

    Duan, Zongtao Li, Ying Zheng, Xibin Liu, Yan Dai, Jiting Kang, Jun

    2014-10-06

    Big data environment create data conditions for improving the quality of traffic information service. The target of this article is to construct a traffic information computing platform for big data environment. Through in-depth analysis the connotation and technology characteristics of big data and traffic information service, a distributed traffic atomic information computing platform architecture is proposed. Under the big data environment, this type of traffic atomic information computing architecture helps to guarantee the traffic safety and efficient operation, more intelligent and personalized traffic information service can be used for the traffic information users.

  2. Temporary Pedestrian & Vehicular Traffic Flow Typical Conditions

    E-Print Network [OSTI]

    Kamat, Vineet R.

    Temporary Pedestrian & Vehicular Traffic Flow Typical Conditions Winter 2014 Ann Arbor - Ross 900150 Feet Pedestrian Route Existing Building Construction Area Traffic Detour Temporary Transit Stop

  3. Intelligent Traffic Light Control Marco Wiering

    E-Print Network [OSTI]

    Utrecht, Universiteit

    an adaptive optimization al- gorithm based on reinforcement learning. We have implemented a traffic light different traffic light controllers. Experimental results indicate that our adaptive traffic lightIntelligent Traffic Light Control Marco Wiering Jelle van Veenen Jilles Vreeken Arne Koopman

  4. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding/23/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T : GW - KM - DP & +VAR FV 3D Risk-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/23/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT

  5. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T : GW - KM - DP & High Tan + CFV 3D Risk Profile All FV-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/13/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT

  6. Modeling and Forecasting Electric Daily Peak Loads

    E-Print Network [OSTI]

    Abdel-Aal, Radwan E.

    for the same data. Two methods are described for forecasting daily peak loads up to one week ahead through, including generator unit commitment, hydro-thermal coordination, short-term maintenance, fuel allocation forecasting accuracies. STLF forecasting covers the daily peak load, total daily energy, and daily load curve

  7. Hybrid Traffic Data Collection Roadmap: Objectives and Methods

    E-Print Network [OSTI]

    Bayen, Alexandre

    2013-01-01

    information environment. Hybrid Traffic Data CollectionBibliography Bibliography Hybrid Traffic Data Collection19, no. 1, p. 15–25, 2003. Hybrid Traffic Data Collection

  8. Hybrid Traffic Data Collection Roadmap: Objectives and Methods

    E-Print Network [OSTI]

    Bayen, Alexandre

    2013-01-01

    Traffic Data Collection Roadmap: Objectives and MethodsTraffic Data Collection Roadmap: Objectives and MethodsTraffic Data Collection Roadmap: Objectives and Methods

  9. Division of IT Convergence Engineering Datacenter Traffic Monitoring

    E-Print Network [OSTI]

    Boutaba, Raouf

    Division of IT Convergence Engineering Datacenter Traffic Monitoring Using Traffic Mirroring, Korea 3 School of Computer Science, University of Waterloo, Canada In these days, datacenter traffic has been increased rapidly. Monitoring datacenter traffic is more difficult than conventional Internet

  10. Fermilab | Traffic Safety at Fermilab |

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article) | SciTechSubmitted MoreTraffic Safety Traffic Citation

  11. Seven Traffic Signals in Two Minutes

    Broader source: Energy.gov [DOE]

    Topeka, Kansas has activated the first of three key traffic corridors to receive a "green light tunnel," a real-time adaptive traffic signal system that synchronizes signals to create a series of...

  12. Temporary Pedestrian & Vehicular Traffic Flow Typical Conditions

    E-Print Network [OSTI]

    Kamat, Vineet R.

    Temporary Pedestrian & Vehicular Traffic Flow Typical Conditions Winter 2014 Ann Arbor - Medical://www.umaec.umich.edu/closures.html Roadway Closure Existing Traffic Pattern I0 400 800 1,200200 Feet Pedestrian Route Existing Building

  13. Evaluation of traffic signal controller transition methods 

    E-Print Network [OSTI]

    Hamilton, Curtis Lloyd

    2000-01-01

    A coordinated signal system achieves the best traffic progression when the signal plans are optimized at the correct offsets and intervals. When traffic conditions change and a transition to a new timing plan is warranted, it is important to reach...

  14. DATALITE: a Distributed Architecture for Traffic Analysis via Light-weight Traffic Digest

    E-Print Network [OSTI]

    Chao, Jonathan

    DATALITE: a Distributed Architecture for Traffic Analysis via Light-weight Traffic Digest for Traffic Analysis via LIght- weight Traffic digEst, which introduces a set of new distributed algorithms digests (TD's) amongst the network nodes. A TD for N packets only requires O(loglog N) bits of memory

  15. The Traffic Circle of Life Anna Nagurney

    E-Print Network [OSTI]

    Nagurney, Anna

    gallons of wasted fuel ­ enough to fill 4 New Orleans Superdomes. Anna Nagurney The Traffic Circle of Life

  16. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-5 3-4 2-3 1-2 0-1 12/12/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;P: BC/12/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/12/2013 4 GW-VCU VESSEL TRAFFIC

  17. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T: GW - KM GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;11/17/2013 4 GW-VCU VESSEL TRAFFIC RISK

  18. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;R: KM 348 3D-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;11/17/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT

  19. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;S: DP 415 3D-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;11/17/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT

  20. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;Q: GW 487 3D-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;11/17/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT

  1. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;Q: GW 487 & NB GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;11/17/2013 4 GW-VCU VESSEL TRAFFIC RISK

  2. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-5 3-4 2-3 1-2 0-1 11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T: GW - KM/21/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;11/21/2013 5 GW-VCU VESSEL TRAFFIC

  3. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-5 3-4 2-3 1-2 0-1 12/19/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;P: BC & LOW GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/19/2013 4 GW-VCU VESSEL TRAFFIC RISK

  4. Asynchronous SAN Switching under Multicast Traffic

    E-Print Network [OSTI]

    Asynchronous SAN Switching under Multicast Traffic Andrea Bianco *, Luca Giraudo *, Alessandra-Multicast traffic in Storage Area Networks (SANs) enables applications such as disaster recovery, remote data-less switching architecture devised for SANs is described, and its performance under multicast traffic is studied

  5. History-based Traffic Control Gabriel Balan

    E-Print Network [OSTI]

    López-Sánchez, Maite

    travel home, shouldn't traffic light controllers rec- ognize this fact and award you the green light@cs.gmu.edu Sean Luke George Mason University Fairfax, VA (USA) sean@cs.gmu.edu ABSTRACT What if traffic lights a vari- ety of multi-agent traffic light controllers which consider vehicles' past stopped

  6. May 21, 2014 Local Agency Traffic

    E-Print Network [OSTI]

    Minnesota, University of

    Field Evaluation Traffic Data Collection Processes Study Is there better EQUIPMENT for collecting low Improvements Field Evaluation Traffic Data Collection Processes Study Is there better EQUIPMENT for collecting;Project Overview 2013-2014Local Agency Data Collection 5 · Tested traffic sensors in a low

  7. Improving Air Traffic Management through Agent Suggestions

    E-Print Network [OSTI]

    Tumer, Kagan

    air traffic flow problem (de- scribed in [4]). 2. SUGGESTION AGENTS Though the system performanceImproving Air Traffic Management through Agent Suggestions (Extended Abstract) Adrian Agogino USCS.tumer@oregonstate.edu ABSTRACT Providing intelligent automation to manage the continu- ously increasing flow of air traffic

  8. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ;12/19/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;12/19/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision

  9. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;11/17/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;Q: GW 487 3D RiskVESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding

  10. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    -VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;11/17/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;Q: GW 487 3D RiskVESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision

  11. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ;11/17/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;11/17/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding

  12. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ;12/19/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;12/19/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding

  13. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 OIL TIME EXPOSURE- OTE #12;12/23/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 OIL TIME EXPOSURE- OTE #12;T: GW - KM - DP 3D Risk Profile What-If FV - Oil

  14. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ;11/17/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;11/17/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision

  15. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr;11/18/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 OIL TIME EXPOSURE- OTE Draft #12;11/18/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 OIL TIME EXPOSURE- OTE Draft #12;DEFINITION OF 15 WATERWAY

  16. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ;12/23/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO #12;12/23/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO #12;T: GW) 2010 POTENTIAL GROUNDING OIL LOSS - PGO #12;12/23/2013 9 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA

  17. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    Draft #12;11/17/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;11/17/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;11/17/2013 9 GW

  18. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    #12;12/23/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO #12;12/23/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO #12;12/23/2013 9 GW-VCU VESSEL

  19. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ;12/12/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;12/12/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;P-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;DEFINITION OF 15

  20. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    -VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;12/19/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;DEFINITION OF 15VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding

  1. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    -VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;12/19/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;DEFINITION OF 15VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision

  2. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;11/17/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;R: KM 348 3D RiskVESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding

  3. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ;11/21/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;11/21/2013 6 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;T ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;11/21/2013 10 GW-VCU VESSEL TRAFFIC RISK

  4. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    Draft #12;12/13/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;12/13/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL;12/13/2013 8 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12

  5. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr TRAFFIC RISK ASSESSMENT (VTRA) 2010 OIL TIME EXPOSURE- OTE #12;12/23/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 OIL TIME EXPOSURE- OTE #12;T: GW - KM - DP 3D Risk Profile What-If FV - Oil Time

  6. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ;11/17/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;11/17/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;T-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;DEFINITION OF 15

  7. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    #12;12/23/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO #12;12/23/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO #12;12/23/2013 9 GW-VCU VESSEL

  8. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr TRAFFIC RISK ASSESSMENT (VTRA) 2010 OIL TIME EXPOSURE- OTE #12;11/20/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 OIL TIME EXPOSURE- OTE #12;T: GW - KM - DP 3D Risk Profile What-If FV - Oil Time

  9. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;11/21/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT GROUNDING OIL LOSS - PGO Draft #12;11/21/2013 9 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIALVESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding

  10. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    -VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;11/17/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;R: KM 348 3D RiskVESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision

  11. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ;12/12/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;12/12/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;P TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;DEFINITION OF 15 WATERWAY

  12. 2001 TRAFFIC ZONE BOUNDARIES Zone Numbers

    E-Print Network [OSTI]

    Toronto, University of

    2001 TRAFFIC ZONE BOUNDARIES Zone Numbers & Detailed Definitions #12;2001 TRAFFIC ZONE BOUNDARIES of Toronto Joint Program in Transportation January 2003 #12;PREFACE This report presents the 2001 traffic zone numbers by local municipalities in the 2001 TTS survey area. The second part presents detailed

  13. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision ASSESSMENT (VTRA) 2010 Draft #12;12/13/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION OIL LOSS - PCO Draft #12;12/13/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL

  14. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision ­ KM ­ DP & 6 RMM's Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 RMM 1: Max;11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT

  15. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision;11/22/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T: GW - KM - DP & ER 3D Risk Profile All

  16. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr & 6 RMM's Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 RMM 1: Max. Speed-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT VESSEL

  17. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T : GW - KM - DP & +VAR FV 3D Risk RISK ASSESSMENT (VTRA) 2010 12/23/2013 3 GW-VCU Draft #12;12/23/2013 4 GW-VCU VESSEL TRAFFIC RISK

  18. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding ­ KM ­ DP & 6 RMM's Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 RMM 1: Max;11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT

  19. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T : GW - KM - DP & +VAR FV 3D Risk ASSESSMENT (VTRA) 2010 12/23/2013 3 GW-VCU Draft #12;12/23/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA

  20. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision T ­ GW ­ KM ­ DP & 6 RMM's Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 RMM 1) Draft #12;11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS

  1. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision ASSESSMENT (VTRA) 2010 Draft #12;12/13/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL COLLISION FREQUENCY - PCF Draft #12;12/13/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL

  2. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T: GW - KM - DP & ER 3D Risk Profile All FV - Oil Time

  3. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding T ­ GW ­ KM ­ DP & 6 RMM's Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 RMM 1) Draft #12;11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS

  4. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;U : GW - KM - DP & VAR 3D Risk Profile ASSESSMENT (VTRA) 2010 11/21/2013 3 GW-VCU Draft #12;11/21/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA

  5. Marine Traffic Engineering through Relational Data Mining

    E-Print Network [OSTI]

    Ceci, Michelangelo

    Marine Traffic Engineering through Relational Data Mining Antonio Bruno1 and Annalisa Appice1,2 1-relational method of frequent pattern discovery into the marine traffic investigation. Multi-relational data mining collected in the gulf of Taranto. 1 Introduction Marine traffic engineering is a research field originally

  6. Crowding effects in vehicular traffic

    E-Print Network [OSTI]

    Combinido, Jay Samuel L

    2012-01-01

    While the impact of crowding on the diffusive transport of molecules within a cell is widely studied in biology, it has thus far been neglected in traffic systems where bulk behavior is the main concern. Here, we study the effects of crowding due to car density and driving fluctuations on the transport of vehicles. Using a microscopic model for traffic, we found that crowding can push car movement from a superballistic down to a subdiffusive state. The transition is also associated with a change in the shape of the probability distribution of positions from negatively-skewed normal to an exponential distribution. Moreover, crowding broadens the distribution of cars' trap times and cluster sizes. At steady state, the subdiffusive state persists only when there is a large variability in car speeds. We further relate our work to prior findings from random walk models of transport in cellular systems.

  7. Energy Assurance Daily (EAD): April 2012

    Broader source: Energy.gov [DOE]

    Energy Assurance Daily provides a summary of public information concerning current energy issues. Published Monday through Friday to inform stakeholders of developments affecting energy systems,...

  8. Energy Assurance Daily (EAD): July 2012

    Broader source: Energy.gov [DOE]

    Energy Assurance Daily provides a summary of public information concerning current energy issues. Published Monday through Friday to inform stakeholders of developments affecting energy systems,...

  9. Energy Assurance Daily (EAD): May 2012

    Office of Energy Efficiency and Renewable Energy (EERE)

    Energy Assurance Daily provides a summary of public information concerning current energy issues. Published Monday through Friday to inform stakeholders of developments affecting energy systems,...

  10. Energy Assurance Daily (EAD): June 2012

    Broader source: Energy.gov [DOE]

    Energy Assurance Daily provides a summary of public information concerning current energy issues. Published Monday through Friday to inform stakeholders of developments affecting energy systems,...

  11. Energy Assurance Daily (EAD): January- March 2012

    Office of Energy Efficiency and Renewable Energy (EERE)

    Energy Assurance Daily provides a summary of public information concerning current energy issues. Published Monday through Friday to inform stakeholders of developments affecting energy systems,...

  12. Freeway Short-Term Traffic Flow Forecasting by Considering Traffic Volatility Dynamics and Missing Data Situations 

    E-Print Network [OSTI]

    Zhang, Yanru

    2012-10-19

    traffic managers in seeking solutions to congestion problems on urban freeways and surface streets. There is new research interest in short-term traffic flow forecasting due to recent developments in ITS technologies. Previous research involves...

  13. Got Traffic? An Evaluation of Click Traffic Providers Qing Zhang, Thomas Ristenpart

    E-Print Network [OSTI]

    Wang, Deli

    and Subject Descriptors H.3.5 [Information Systems]: On-line Information Service--Com- mercial services, Web- ondary traffic-selling ecosystem -- comprising traffic vendors who will contract to deliver clicks

  14. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    GROUNDING OIL LOSS - PGO Draft #12;11/22/2013 6 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;11/22/2013 7 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 T: GW - KM;11/22/2013 9 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12

  15. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/12/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/12/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING FREQUENCY

  16. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/23/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 #12;12/23/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING FREQUENCY

  17. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-12 10-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;11/17/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Q: GW 487 & NB & OH

  18. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision: GW ­ KM ­ DP & +1 Escort Cape Size Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA-12 10-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT

  19. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12-2 0-1 VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 11/17/2013 3 GW-VCU Draft #12;11/17/2013 4 GW

  20. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T : GW - KM - DP & +VAR FV 3D Risk Profile All FV - Oil Time-12 10-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/23/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT

  1. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT VESSEL FOR HARO-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA

  2. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 11/17/2013 2 GW-VCU Draft #12-2 0-1 11/17/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;11/17/2013 4 GW

  3. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;U : GW - KM - DP & VAR 3D Risk Profile All FV - Vessel Time-12 10-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT

  4. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT VESSEL FOR HARO-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  5. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-7 5-6 4-5 3-4 2-3 1-2 0-1 12/19/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;P-2 0-1 12/19/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/19/2013 4 GW

  6. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;U : GW - KM - DP & VAR 3D Risk Profile All FV - Oil Time-12 10-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT

  7. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision-2 0-1 12/23/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T : GW - KM - DP & +VAR-2 0-1 12/23/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/23/2013 4 GW

  8. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-12 10-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/13/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING

  9. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr & +1 Escort Cape Size Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

  10. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding ­ KM ­ DP & +1 Escort Cape Size Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

  11. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12-2 0-1 VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 11/17/2013 3 GW-VCU Draft #12;11/17/2013 4 GW

  12. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-7 5-6 4-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;P-2 0-1 11/17/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;11/17/2013 4 GW

  13. Bicycle traffic planning and design criteria 

    E-Print Network [OSTI]

    Vathana, Jhirasak

    1975-01-01

    BICYCLE TRAFFIC PLANNING AND DESIGN CRITERIA A Thesis JHIRASAK VATHANA Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE May 1975 Major Subject...: Interdisciplinary Engineering BICYCLE TRAFFIC PLANNING AND DESIGN CRITER1A A Thesis DHIRASAK VATHANA Approved as to style and content by: Chairman of Committee (Head of epartment) j 'j (Memb ) (Member) (Member) May l975 ABSTRACT Bicycle Traffic Planning...

  14. Ohio Town Installing ‘Green’ Traffic Signals

    Broader source: Energy.gov [DOE]

    Elyria makes the move to efficient lighting. The town has decided to start replacing traffic lights with energy-efficient LEDs.

  15. Daily Precipitation Statistics: An Intercomparison between

    E-Print Network [OSTI]

    Zeng, Ning

    Daily Precipitation Statistics: An Intercomparison between NCEP Reanalyses and Observations Vernon-2010. Resolution T382 (~0.3x0.3 degrees). #12;R1, R2, CFSR: Comparison to OI Station-based Precipitation Analyses station-based daily precipitation analysis data set (1979-2006). · The high-resolution reanalysis (CFSR

  16. Taxiway Aircraft Traffic Scheduling: A Model and Solution Algorithms 

    E-Print Network [OSTI]

    Tian, Chunyu

    2012-10-19

    With the drastic increase in the demand for air travel, taxiway aircraft traffic scheduling is becoming increasingly important in managing air traffic. In order to reduce traffic congestion on taxiways, this thesis proposes ...

  17. A Methodology for Estimating Interdomain Web Traffic Demand

    E-Print Network [OSTI]

    Maggs, Bruce M.

    A Methodology for Estimating Interdomain Web Traffic Demand Anja Feldmann , Nils Kammenhuber-varying) interdomain HTTP traffic demand matrix pairing several hundred thousand blocks of client IP addresses, Traffic demand, Interdomain, Es- timation 1. INTRODUCTION The reliable estimation and prediction

  18. Traffic condition tracking and visualization in virtual city testbed

    E-Print Network [OSTI]

    Zhu, Boyuan, M. Eng. Massachusetts Institute of Technology

    2011-01-01

    Computer traffic simulation is a tool widely used to understand how humans behave under varying traffic conditions. The Virtual City Testbed is a traffic simulation framework built to closely model human behavior by allowing ...

  19. Scaling Microblogging Services with Divergent Traffic Demands

    E-Print Network [OSTI]

    Almeroth, Kevin C.

    Scaling Microblogging Services with Divergent Traffic Demands Tianyin Xu1 , Yang Chen1 , Lei Jiao1 client-server architecture has not scaled with user demands, leading to server overload and significant #12;Scaling Microblogging Services with Divergent Traffic Demands 21 producing effective predictions

  20. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ASSESSMENT (VTRA) 2010 11/18/2013 2 GW-VCU Draft #12;P: BC & DH100 3D Risk Profile All FV - Pot. Ground. Oil OIL LOSS - PGO Draft #12;11/18/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIALVESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding

  1. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    COLLISION OIL LOSS - PCO Draft #12;11/18/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIALVESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision Oil Loss Dr. J. Rene van Dorp and Dr. Jason R.W Merrick 11/18/2013 1 GW-VCU November 2013 CASE P: BASE

  2. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ) 2010 Draft #12;11/18/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OILVESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding Oil Loss Dr. J. Rene van Dorp and Dr. Jason R.W Merrick 11/18/2013 1 GW-VCU November 2013 CASE P: BASE

  3. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr RISK ASSESSMENT (VTRA) 2010 Draft #12;P: BC & DH100 3D Risk Profile All FV - Oil Time Exposure: 100 Draft #12;11/18/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 OIL TIME EXPOSURE- OTE Draft

  4. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    COLLISION OIL LOSS - PCO Draft #12;11/19/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIALVESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision Oil Loss Dr. J. Rene van Dorp and Dr. Jason R.W Merrick 11/19/2013 1 GW-VCU November 2013 CASE P: BASE

  5. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    -VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;11/17/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;T: GW - KM - DP 3 RISK ASSESSMENT (VTRA) 2010 POTENTIAL GROUNDING OIL LOSS - PGO Draft #12;DEFINITION OF 15 WATERWAY

  6. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    OIL LOSS - PGO Draft #12;11/19/2013 5 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIALVESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding Oil Loss Dr. J. Rene van Dorp and Dr. Jason R.W Merrick 11/19/2013 1 GW-VCU November 2013 CASE P: BASE

  7. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr ASSESSMENT (VTRA) 2010 Draft #12;P: BC & OB HE100 3D Risk Profile All FV - Oil Time Exposure: 100% of Base;11/19/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 OIL TIME EXPOSURE- OTE Draft #12;11/19/2013 5 GW

  8. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure Escort for all Focus Vessels on Haro Routes Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT VESSEL FOR HARO-BOUNDARY ROUTES (GREEN

  9. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT VESSEL All FV - Vessel Time Exposure: 125% of Base Case VTE 23-24 22-23 21-22 20-21 19-20 18-19 17-18 16

  10. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure GW-VCU Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 RMM 1: Max. Speed of Container Vessels at 17 knots. RMM 2: Reduce Human Error incident on Oil Barges by 50% RMM 3: No Bunkering

  11. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure Escort Cape Size Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT VESSEL FOR HARO-BOUNDARY ROUTES (GREEN) AND FOR ROSARIO ROUTES (ORANGE

  12. INTEGRATION: An Overview of Traffic Simulation Features

    E-Print Network [OSTI]

    Hellinga, Bruce

    emissions, and more recently the combined modeling of traffic and communications subsystems. However, all, such as the addition of car-following logic, lane-changing logic, and more dynamic traffic assignment routines. However plazas, vehicle emissions, weaving sections, and HOVs. In addition, some features, such as the real

  13. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision;11/22/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT RISK ASSESSMENT (VTRA) 2010 11/22/2013 3 GW-VCU Draft #12;T: GW - KM - DP & ER 3D Risk Profile All FV

  14. Seven Traffic Signals in Two Minutes

    SciTech Connect (OSTI)

    None

    2011-01-01

    Topeka, KS has activated the first of three key traffic corridors to receive a "green light tunnel," a real-time adaptive traffic signal system that synchronizes signals to create a series of green lights for motorists. The result is fewer stops, less travel time and -- most importantly -- a lot of saved gasoline.

  15. The National Traffic Safety Summit Traffic Incident Management, Traffic Homicide Investigation and Mitigation Strategies

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S.Week Day Year(activeInforumMILC The NERSCIgnitionTraffic

  16. Fact #580: July 20, 2009 Traffic Congestion Grows | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Texas Transportation Institute's latest study on traffic congestion, two of every three cars experienced congestion in their morning or evening trip in 2007. As expected, traffic...

  17. Impact of Traffic States on Freeway Collision Frequency

    E-Print Network [OSTI]

    Yeo, Hwasoo; Jang, Kitae; Skabardonis, Alexander

    2010-01-01

    a section using upstream and downstream traffic states: freeBQ). In FF, both upstream and downstream traffic phases arephase means that both upstream and downstream locations are

  18. A First Look at Modern Enterprise Traffic

    SciTech Connect (OSTI)

    Pang, Ruoming; Mark Allman, Mark; Bennett, Mike; Lee, Jason; Paxson, Vern; Tierney, Brian

    2005-06-01

    While wide-area Internet traffic has been heavily studied for many years, the characteristics of traffic inside Internet enterprises remain almost wholly unexplored. Nearly all of the studies of enterprise traffic available in the literature are well over a decade old and focus on individual LANs rather than whole sites. In this paper we present a broad overview of internal enterprise traffic recorded at a medium-sized site. The packet traces span more than 100 hours, over which activity from a total of several thousand internal hosts appears. This wealth of data--which we are publicly releasing in anonymized form--spans a wide range of dimensions. While we cannot form general conclusions using data from a single site, and clearly this sort of data merits additional in-depth study in a number of ways, in this work we endeavor to characterize a number of the most salient aspects of the traffic. Our goal is to provide a first sense of ways in which modern enterprise traffic is similar to wide-area Internet traffic, and ways in which it is quite different.

  19. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010-4 2-3 1-2 0-1 11/17/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;11/17/2013 4 GW

  20. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 12/12/2013 2 GW-VCU Draft #12-4 2-3 1-2 0-1 12/12/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/12/2013 4 GW

  1. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-12 10-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

  2. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/20/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA-7 5-6 4-5 3-4 2-3 1-2 0-1 VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 11/20/2013 3 GW-VCU #12

  3. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  4. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/12/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12-4 2-3 1-2 0-1 12/12/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/12/2013 4 GW

  5. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 11/17/2013 2 GW-5 3-4 2-3 1-2 0-1 11/17/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  6. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010-5 3-4 2-3 1-2 0-1 11/17/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  7. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  8. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12-5 3-4 2-3 1-2 0-1 12/13/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  9. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-12 10-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/20/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/20/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 #12

  10. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/19/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010-5 3-4 2-3 1-2 0-1 12/19/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  11. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/23/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010-7 5-6 4-5 3-4 2-3 1-2 0-1 12/23/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 #12

  12. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/12/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010-5 3-4 2-3 1-2 0-1 12/12/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  13. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/20/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA-7 5-6 4-5 3-4 2-3 1-2 0-1 VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 11/20/2013 3 GW-VCU #12

  14. Fair Internet traffic integration: network flow models and analysis

    E-Print Network [OSTI]

    Kelly, Frank

    Fair Internet traffic integration: network flow models and analysis Peter Key, Laurent Massoulié the integration of two types of Internet traffic, elastic file transfers and streaming traffic. Previous studies have concentrated on just one type of traffic, such as the flow level models of Internet congestion

  15. Scaling Microblogging Services with Divergent Traffic Demands

    E-Print Network [OSTI]

    Fu, Xiaoming

    Scaling Microblogging Services with Divergent Traffic Demands Tianyin Xu, Yang Chen, Lei Jiao, Ben-server architecture has not scaled with user demands, lead- ing to server overload and significant impairment

  16. Smart-card traffic system keeps Singapore

    E-Print Network [OSTI]

    Hunt, Julian

    Smart-card traffic system keeps Singapore in the fast lane Sir -- Recognizing the high economic tariffs from a smart card installed in a slot near the vehicle's windscreen. Infringement is registered

  17. Partitioning Complexity in Air Traffic Management Task

    E-Print Network [OSTI]

    Cummings, M. L.

    2006-01-01

    Cognitive complexity is a term that appears frequently in air traffic control (ATC) research literature, yet there is little principled investigation of the potential sources of cognitive complexity. Three distinctly ...

  18. Built Environmental Correlates of Traffic Collisions 

    E-Print Network [OSTI]

    Yu, Chia-Yuan

    2014-07-01

    relationships between built environmental attributes and crashes with different levels of injury severity in census block groups in Austin, TX. The results showed that traffic volume, highways/freeways, arterial roads, and commercial uses had consistently...

  19. Reverse Engineering User Behaviors From Network Traffic

    E-Print Network [OSTI]

    Xie, Guowu

    2013-01-01

    of user requests to web pages with beacon, ad, and either inof modern web traffic and web-pages, Ihm et al. proposed abeacons to track their web pages and objects. Intuitively,

  20. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure & No Bunkering Draft #12;Q: GW 487 3D Risk Profile All FV - Vessel Time Exposure: 113% of Base Case VTE 23-24 22-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;Q: GW 487 & NB

  1. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure + Bunkering Draft #12;P: Base Case 3D Risk Profile All FV - Vessel Time Exposure: 100% of Base Case VTE 23-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;S: DP 415 3

  2. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure & No Bunkering & Only Haro Draft #12;Q: GW 487 & NB 3D Risk Profile All FV - Vessel Time Exposure: 108% of Base-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  3. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure + Cargo FV set at High December 2013 Draft #12;T: GW - KM - DP 3D Risk Profile All FV - Vessel Time-12 10-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT

  4. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure + Bunkering Draft #12;P: Base Case 3D Risk Profile All FV - Vessel Time Exposure: 100% of Base Case VTE 23-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;R: KM 348 3

  5. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure ­ DP & Tankers set Low #12;T: GW - KM - DP 3D Risk Profile All FV - Vessel Time Exposure: 125% of Base-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/23/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 #12;T

  6. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure GW-VCU Draft #12;P: Base Case 3D Risk Profile All FV - Vessel Time Exposure: 100% of Base Case VTE 23-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;T: GW - KM

  7. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure + Bunkering Draft #12;P: Base Case 3D Risk Profile All FV - Vessel Time Exposure: 100% of Base Case VTE 23-5 3-4 2-3 1-2 0-1 11/17/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;Q: GW 487 3

  8. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure + Cargo FV set Low December 2013 Draft #12;T: GW - KM - DP 3D Risk Profile All FV - Vessel Time Exposure-11 9-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/23/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA

  9. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure set at High December 2013 Draft #12;T: GW - KM - DP 3D Risk Profile All FV - Vessel Time Exposure: 125-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/13/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

  10. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure and Cargo FV set at High Draft #12;P: Base Case 3D Risk Profile All FV - Vessel Time Exposure: 100% of Base-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/12/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  11. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure Way ATB's Rosario #12;T: GW - KM - DP 3D Risk Profile All FV - Vessel Time Exposure: 125% of Base Case-7 5-6 4-5 3-4 2-3 1-2 0-1 11/20/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 #12;T: GW

  12. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding RISK ASSESSMENT (VTRA) 2010 DEFINITION OF ASSUMED LOCATIONS FOR ADDED ESCORT VESSEL FOR HARO-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12

  13. Asymmetry of Daily Temperature Records YOSEF ASHKENAZY

    E-Print Network [OSTI]

    Gildor, Hezi

    Asymmetry of Daily Temperature Records YOSEF ASHKENAZY Solar Energy and Environmental Physics, BIDR author address: Yosef Ashkenazy, Department of Solar Energy and Environmental Physics, The J. Blaustein al. 1996) database. The main advantage of this reanalysis data is its global 3D coverage. As follows

  14. Daily Weather Laboratory II Spring Semester 2010

    E-Print Network [OSTI]

    van den Heever, Susan C.

    AT541 Daily Weather Laboratory II Spring Semester 2010 Meeting Times: Tuesday and Thursday: 1, dynamic and thermodynamic characteristics of mesoscale weather phenomena. Aspects of synoptic- scale contest will also be held, separated by the mid-term exam. In-class weather briefings will be given

  15. Daily Precipitation Grids for South America

    E-Print Network [OSTI]

    Robeson, Scott M.

    W Daily Precipitation Grids for South America --SCOTT M. ROBESON AND LESLIE A. ENSOR Indiana precipitation databases, such as that of Liebmann and Allured (2005, hereafter LA2005). Precipitation this important region has received limited attention with regard to precipitation data- bases (Cook et al. 2003

  16. TrafficView: Traffic Data Dissemination using Car-to-Car Communication

    E-Print Network [OSTI]

    Iftode, Liviu

    TrafficView: Traffic Data Dissemination using Car-to-Car Communication Tamer Nadeema, Sasan high- tech devices are integrated, and a common platform for inter-vehicle communication is necessary platform for inter-vehicle communication is necessary to realize an intelligent transportation system

  17. Annual Reports

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O D S TAPropaneandAn319 125 U.S.812AnnualFinalAnnual

  18. Annual Report

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematics And StatisticsProgram ManagerCorridor Designations inEnergy 4 Report AnnualAnnual Planning09

  19. Annual Report

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l De p u t yWaste |4 2014 Annual Planning Summary for the2011 Annual

  20. DAILY JOURNAL NEWSWIRE ARTICLE http://www.dailyjournal.com

    E-Print Network [OSTI]

    Kammen, Daniel M.

    DAILY JOURNAL NEWSWIRE ARTICLE http://www.dailyjournal.com © 2009 The Daily Journal Corporation IDEAS IN COPENHAGEN By Fiona Smith Daily Journal Staff Writer Two Berkeley Law students will push and is accompanying them to Copenhagen. #12;DAILY JOURNAL NEWSWIRE ARTICLE http://www.dailyjournal.com © 2009

  1. NREL Annual Environmental Performance Reports (Annual Site Environment...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    NREL Annual Environmental Performance Reports (Annual Site Environmental Reports) NREL Annual Environmental Performance Reports (Annual Site Environmental Reports) Every year NREL...

  2. Automated identification of terminal area air traffic flows and weather related deviations

    E-Print Network [OSTI]

    Ng, Tony M. Eng. Massachusetts Institute of Technology

    2008-01-01

    Air traffic in terminal air space is very complex, making it very difficult to identify air traffic flows. Finding air traffic flows and flow boundaries are very helpful in analyzing how air traffic would react to weather. ...

  3. Development and implementation of algorithms used in ground and internet traffic monitoring 

    E-Print Network [OSTI]

    Ametha, Jayesh

    2001-01-01

    Two different problems have been analyzed, one involving Traffic Management Centers (TMCs), while the other involves Internet traffic monitoring at a network router. TMCs detect traffic incidents and manage traffic using Automatic Incident Detection...

  4. Fact #581: July 27, 2009 Fuel Wasted in Traffic Congestion

    Broader source: Energy.gov [DOE]

    The researchers at the Texas Transportation Institute have recently published new estimates of the effects of traffic congestion. Nearly 3 billion gallons of fuel is wasted each year due to traffic...

  5. A mathematical model and descent algorithm for bilevel traffic management

    E-Print Network [OSTI]

    Patriksson, Michael

    demands, the possible presence of side constraints in the traff* *ic equilibrium system in cities with the immediate side effect of an incr* *ease in traffic demand. A functioning society depends traffic management Michael Patriksson* and R. Tyrrell Rockafellary

  6. Traffic prediction and navigation using historical and current information

    E-Print Network [OSTI]

    Lim, Sejoon

    2008-01-01

    We developed a traffic prediction and navigation system that deals with uncertainty of road traffic conditions by stochastic modeling of road networks. Our system consists of a data collecting system, a data management ...

  7. http://tti.tamu.edu > Variable message signs > Traffic actuated controllers > Traffic signals > Flashing traffic signals > Lane use control signals > Road markings > Rumble strips > Warrants (Traffic control devices) > Gro

    E-Print Network [OSTI]

    and development > Airport maintenance > Bicycle and pedestrian > Ports and waterways >>> Transportation operations pipeline transportation > Airport planning and development > Airport maintenance > Bicycle and pedestrian > Measures of effectiveness > Traffic models > Traffic simula Saving Lives, Time and Resources AviAtion Rese

  8. Off-line calibration of Dynamic Traffic Assignment models

    E-Print Network [OSTI]

    Balakrishna, Ramachandran, 1978-

    2006-01-01

    Advances in Intelligent Transportation Systems (ITS) have resulted in the deployment of surveillance systems that automatically collect and store extensive network-wide traffic data. Dynamic Traffic Assignment (DTA) models ...

  9. Laboratory to change vehicle traffic-screening regimen at vehicle...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Changes to vehicle traffic-screening Laboratory to change vehicle traffic-screening regimen at vehicle inspection station Lanes two through five will be open 24 hours a day and...

  10. 2010 ANNUAL RESEARCH REPORT 2010 ANNUAL RESEARCH REPORT 2010 ANNUAL RESEARCH REPORT RESEARCH REPORT2010ANNUAL RESEARCH REPORT2010ANNUAL RESEARCH REPORT

    E-Print Network [OSTI]

    Hill, Jeffrey E.

    2010 ANNUAL RESEARCH REPORT 2010 ANNUAL RESEARCH REPORT 2010 ANNUAL RESEARCH REPORT RESEARCH REPORT2010ANNUAL RESEARCH REPORT2010ANNUAL RESEARCH REPORT 2010 ANNUAL RESEARCH REPORT 2010 ANNUAL RESEARCH REPORT 2010 ANNUAL RESEARCH REPORT RESEARCH REPORT2010ANNUAL RESEARCH REPORT2010ANNUAL RESEARCH REPORT

  11. Traffic Characterisation for Telecommunication Networks Attila Vidcs, Zsolt Kenesi, kos Rtfalvi, Pter Pozsgai, Sndor Molnr

    E-Print Network [OSTI]

    Molnár, Sándor

    the whole set of renewal processes for traffic characterisation. In data traffic modelling the so called ON depends on the nature of the traffic thereby there is an urgent need to find appropriate traffic models the nature of the traffic in future services. In spite of these difficulties of traffic modelling numerous

  12. Air Traffic Control Using Virtual Stationary Automata Matthew D. Brown

    E-Print Network [OSTI]

    Lynch, Nancy

    Air Traffic Control Using Virtual Stationary Automata by Matthew D. Brown B.S., Massachusetts by . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Arthur C. Smith Chairman, Department Committee on Graduate Students #12;Air Traffic Control Using Virtual of Engineering Abstract As air travel has become an essential part of modern life, the air traffic control system

  13. Internet Traffic Modeling Using the Index of Variability

    E-Print Network [OSTI]

    Kansas, University of

    traffic models: the Two-State Markov Modulated Poisson Process (MMPP) and the renewal process1 Internet Traffic Modeling Using the Index of Variability Georgios Y. Lazarou, Xiangdong Xia and is analytically tractable for many popular traffic models. Using this proposed measure, we then analyzed two

  14. A Twostep Statistical Approach for Inferring Network Traffic Demands #

    E-Print Network [OSTI]

    A Two­step Statistical Approach for Inferring Network Traffic Demands # A. Medina 1 , K. Salamatian knowledge of traffic demands in a communication net­ work enables or enhances a variety of traffic measuring a complete set of these demands is prohibitively expensive because of the huge amounts of data

  15. Adaptive Traffic Lights Using Car-to-Car Communication

    E-Print Network [OSTI]

    Iftode, Liviu

    Adaptive Traffic Lights Using Car-to-Car Communication Victor Gradinescu, Cristian Gorgorin, Raluca presents an adaptive traffic light system based on wireless communication between vehicles and fixed adaptive traffic light system. In section 4, we present the simulation framework we have developed

  16. Internet traffic growth: Sources and implications Andrew M. Odlyzko

    E-Print Network [OSTI]

    Odlyzko, Andrew M.

    Internet traffic growth: Sources and implications Andrew M. Odlyzko University of Minnesota, Minneapolis, MN, USA ABSTRACT The high tech bubble was inflated by myths of astronomical Internet traffic growth rates. Yet although these myths were false, Internet traffic was increasing very rapidly, close

  17. Internet Traffic Matrices: A Primer Paul Tune and Matthew Roughan

    E-Print Network [OSTI]

    Roughan, Matthew

    Internet Traffic Matrices: A Primer Paul Tune and Matthew Roughan School of Mathematical Sciences of various services from the Internet has led to an exponential growth of Internet traffic in the last decade for testing routing protocols. We conclude the chapter by summarising open questions in Internet traffic

  18. Stability for scalar balance laws; Application to pedestrian traffic.

    E-Print Network [OSTI]

    Mercier, Magali

    1 L1 Stability for scalar balance laws; Application to pedestrian traffic. Magali Mercier Universit-local flow, which appears for example in a new model of pedestrian traffic. 1 Introduction We consider condition. This is of interest in pedestrian traffic if for example we want to minimize the time of exit out

  19. VEHICLE EMISSIONS AND TRAFFIC MEASURES: EXPLORATORY ANALYSIS OF FIELD

    E-Print Network [OSTI]

    Frey, H. Christopher

    VEHICLE EMISSIONS AND TRAFFIC MEASURES: EXPLORATORY ANALYSIS OF FIELD OBSERVATIONS AT SIGNALIZED between vehicle emissions and traffic control measures is an important step toward reducing the potential roadway design and traffic control, have the ability to reduce vehicle emissions. However, current vehicle

  20. Daily Flight Planning and Operations Schedule

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSiteo n n(Technical Report) | SciTechDaily

  1. Asymmetric Multiclass Traffic Assignment: a coherent formulation

    E-Print Network [OSTI]

    Toint, Philippe

    of the asymmetric multiclass traffic assignment model are brought to light. A new formulation is presented, multiclass cost functions. A numerical calibration exercise for a car and truck class model concludes in the definition of coherent multiple value­of­time class and car­and­truck class models, and in the calibration

  2. Does Daylight Savings Time Affect Traffic Accidents? 

    E-Print Network [OSTI]

    Deen, Sophia 1988-

    2012-04-20

    This paper studies the effect of changes in accident pattern due to Daylight Savings Time (DST). The extension of the DST in 2007 provides a natural experiment to determine whether the number of traffic accidents is affected by shifts in hours...

  3. Understanding Data Center Traffic Characteristics Theophilus Benson

    E-Print Network [OSTI]

    Badrinath, B. R.

    Understanding Data Center Traffic Characteristics Theophilus Benson , Ashok Anand , Aditya Akella and Ming Zhang UW-Madison, Microsoft Research ABSTRACT As data centers become more and more central patterns in data center networks that can inform and help evaluate research and operational approaches. We

  4. Performance Analysis of Isolated Intersection Traffic Signals 

    E-Print Network [OSTI]

    Yin, Kai

    2013-08-01

    This dissertation analyzes two unsolved problems to fulfill the gap in the literature: (1). What is the vehicle delay and intersection capacity considering left-turn traffic at a pre-timed signal? (2). What are the mean and variance of delay...

  5. 2004 TEPP Annual Report

    Office of Environmental Management (EM)

    the WIPP OperationsTraffic Dispatcher, and the Department of Energy, Richland Office. 8 United States Department of Energy Transportation Emergency Preparedness Program (TEPP)...

  6. TrafficView: A Driver Assistant Device for Traffic Monitoring based on Car-to-Car Communication

    E-Print Network [OSTI]

    Iftode, Liviu

    TrafficView: A Driver Assistant Device for Traffic Monitoring based on Car-to-Car Communication an intelligent transportation system, a common platform for inter-vehicle communication is needed. This platform, Directions, etc. Slide bar for areas infront or behind you Your car Other cars Fig. 1. Example of Traffic

  7. Annual Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O D S TAPropaneandAn319 125 U.S.812Annual ProgressANNUALY

  8. Annual Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O D S TAPropaneandAn319 125 U.S.812Annual

  9. Annual Reports

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory of raregovAboutRecovery ActTools to someone by AllocationAnnual Energy

  10. Annual Report

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l De p u t yWaste |4 2014 Annual Planning Summary for the2011

  11. Annual Reports | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    in PDF and will require Adobe Reader for viewing. Freedom of Information Act Annual Reports Annual Report for 2014 Annual Report for 2013 Annual Report for 2012 Annual Report...

  12. Metropolitan Road Traffic Simulation on FPGAs.

    SciTech Connect (OSTI)

    Tripp J. L. (Justin L.); Mortveit, H. S. (Henning S.); Hansson, A. A. (Anders A.); Gokhale, M. (Maya)

    2005-01-01

    This work demonstrates that road traffic simulation of entire metropolitan areas is possible with reconfigurable supercomputing that combines 64-bit microprocessors and FPGAs in a high bandwidth, low latency interconnect. Previously, traffic simulation on FPGAs was limited to very short road segments or required a very large number of FPGAs. Our data streaming approach overcomes scaling issues associated with direct implementations and still allows for high-level parallelism by dividing the data sets between hardware and software across the reconfigurable supercomputer. Using one FPGA on the Cray XD1 supercomputer, we are able to achieve a 34.4 x speed up over the AMD microprocessor. System integration issues must be optimized to exploit this speedup in the overall simulation.

  13. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure & Additional Variability of Case T What-If Focus Vessel Arrivals Draft #12;T: GW - KM - DP 3D Risk Profile All FV - Vessel Time Exposure: 125% of Base Case VTE 23-24 22-23 21-22 20-21 19-20 18-19 17-18 16-17 15

  14. FPGA Based Real-time Network Traffic Analysis using Traffic Dispersion Patterns

    SciTech Connect (OSTI)

    Khan, F; Gokhale, M; Chuah, C N

    2010-03-26

    The problem of Network Traffic Classification (NTC) has attracted significant amount of interest in the research community, offering a wide range of solutions at various levels. The core challenge is in addressing high amounts of traffic diversity found in today's networks. The problem becomes more challenging if a quick detection is required as in the case of identifying malicious network behavior or new applications like peer-to-peer traffic that have potential to quickly throttle the network bandwidth or cause significant damage. Recently, Traffic Dispersion Graphs (TDGs) have been introduced as a viable candidate for NTC. The TDGs work by forming a network wide communication graphs that embed characteristic patterns of underlying network applications. However, these patterns need to be quickly evaluated for mounting real-time response against them. This paper addresses these concerns and presents a novel solution for real-time analysis of Traffic Dispersion Metrics (TDMs) in the TDGs. We evaluate the dispersion metrics of interest and present a dedicated solution on an FPGA for their analysis. We also present analytical measures and empirically evaluate operating effectiveness of our design. The mapped design on Virtex-5 device can process 7.4 million packets/second for a TDG comprising of 10k flows at very high accuracies of over 96%.

  15. Traffic flow wide-area surveillance system definition

    SciTech Connect (OSTI)

    Allgood, G.O.; Ferrell, R.K.; Kercel, S.W.; Abston, R.A.; Carnal, C.L. [Oak Ridge National Lab., TN (United States); Moynihan, P.I. [Jet Propulsion Lab., Pasadena, CA (United States)

    1994-11-01

    Traffic Flow Wide-Area Surveillance (TFWAS) is a system for assessing the state of traffic flow over a wide area for enhanced traffic control and improved traffic management and planning. The primary purpose of a TFWAS system is to provide a detailed traffic flow description and context description to sophisticated traffic management and control systems being developed or envisioned for the future. A successful TFWAS system must possess the attributes of safety, reconfigurability, reliability, and expandability. The primary safety premise of TFWAS is to ensure that no action or failure of the TFWAS system or its components can result in risk of injury to humans. A wide variety of communication techniques is available for use with TFWAS systems. These communication techniques can be broken down into two categories, landlines and wireless. Currently used and possible future traffic sensing technologies have been examined. Important criteria for selecting TFWAS sensors include sensor capabilities, costs, operational constraints, sensor compatibility with the infrastructure, and extent. TFWAS is a concept that can take advantage of the strengths of different traffic sensing technologies, can readily adapt to newly developed technologies, and can grow with the development of new traffic control strategies. By developing innovative algorithms that will take information from a variety of sensor types and develop descriptions of traffic flows over a wide area, a more comprehensive understanding of the traffic state can be provided to the control system to perform the most reasonable control actions over the entire wide area. The capability of characterizing the state of traffic over an entire region should revolutionize developments in traffic control strategies.

  16. 2008 Annual Report

    SciTech Connect (OSTI)

    none,

    2008-01-01

    This annual report includes: a brief overview of Western; FY 2008 operational highlights; and financial data.

  17. Chaos and scaling in daily river flow

    E-Print Network [OSTI]

    M. De Domenico; M. Ali Ghorbani

    2011-04-07

    Adequate knowledge of the nature of river flow process is crucial for proper planning and management of our water resources and environment. This study attempts to detect the salient characteristics of flow dynamics of the Karoon River in Iran. Daily discharge series observed over a period of six years (1999-2004) is analyzed to examine the chaotic and scaling characteristics of the flow dynamics. The presence of chaos is investigated through the correlation dimension and Lyapunov exponent methods, while the Hurst exponent and R\\'enyi dimension analyses are performed to explore the scaling characteristics. The low correlation dimension ($2.60 \\pm 0.07$) and the positive largest Lyapunov exponent ($0.014 \\pm 0.001$) suggest the presence of low-dimensional chaos; they also imply that the flow dynamics are dominantly governed by three variables and can be reliably predicted up to 48 days (i.e. prediction horizon). Results from the Hurst exponent and R\\'enyi dimension analyses reveal the multifractal character of the flow dynamics, with persistent and anti-persistent behaviors observed at different time scales.

  18. Traffic congestion forecasting model for the INFORM System. Final report

    SciTech Connect (OSTI)

    Azarm, A.; Mughabghab, S.; Stock, D.

    1995-05-01

    This report describes a computerized traffic forecasting model, developed by Brookhaven National Laboratory (BNL) for a portion of the Long Island INFORM Traffic Corridor. The model has gone through a testing phase, and currently is able to make accurate traffic predictions up to one hour forward in time. The model will eventually take on-line traffic data from the INFORM system roadway sensors and make projections as to future traffic patterns, thus allowing operators at the New York State Department of Transportation (D.O.T.) INFORM Traffic Management Center to more optimally manage traffic. It can also form the basis of a travel information system. The BNL computer model developed for this project is called ATOP for Advanced Traffic Occupancy Prediction. The various modules of the ATOP computer code are currently written in Fortran and run on PC computers (pentium machine) faster than real time for the section of the INFORM corridor under study. The following summarizes the various routines currently contained in the ATOP code: Statistical forecasting of traffic flow and occupancy using historical data for similar days and time (long term knowledge), and the recent information from the past hour (short term knowledge). Estimation of the empirical relationships between traffic flow and occupancy using long and short term information. Mechanistic interpolation using macroscopic traffic models and based on the traffic flow and occupancy forecasted (item-1), and the empirical relationships (item-2) for the specific highway configuration at the time of simulation (construction, lane closure, etc.). Statistical routine for detection and classification of anomalies and their impact on the highway capacity which are fed back to previous items.

  19. Florida County Seeks to Reduce Emissions and Improve Traffic

    Office of Energy Efficiency and Renewable Energy (EERE)

    St. Johns County, Florida is tackling its traffic-timing problem with a little help from an Energy Department Energy Efficiency and Conservation Block grant. The county will use the grant to improve traffic flow by re-synchronizing signals at five major road segments. In total, 23 traffic signals will be retimed and synchronized, resulting in lower fuel consumption, shorter travel times, increased travel speed, less stopping and less engine idling.

  20. Measurements of Diesel Truck Traffic Associated with Goods Movement

    E-Print Network [OSTI]

    Houston, Douglas; Krudysz, Margaret; Winer, Arthur

    2007-01-01

    Concentrations of PM2.5 and Diesel Exhaust Particles onPatterns of Measured Port Diesel Traffic. (a) Intersectionof particulate emissions from diesel engines: a review’, J.

  1. Resisting Traffic Analysis on Encrypted Data Streams | The Ames...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Resisting Traffic Analysis on Encrypted Data Streams New innovations in energy delivery systems and control systems continue to advance the reliability and resilience of the...

  2. Addendum to 2010 NREL Environmental Performance Report ? Traffic...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    was developed to address potential environmental impacts from changes in traffic at NREL and to support a Finding of No Significant Impact for several projects at the...

  3. NREL Leads Effort to Get Traffic Moving in Right Direction -...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    NREL Leads Effort to Get Traffic Moving in Right Direction Connected Traveler project will guide travelers in energy-efficient manner August 17, 2015 The Energy Department's...

  4. New director of Jefferson Lab named (Daily Press) | Jefferson...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    https:www.jlab.orgnewsarticlesnew-director-jefferson-lab-named-daily-press New director of Jefferson Lab named Hugh Montgomery Hugh Montgomery has been named president of...

  5. A Method for Calculating Reference Evapotranspiration on Daily Time Scales

    E-Print Network [OSTI]

    Farmer, William

    Measures of reference evapotranspiration are essential for applications of agricultural management and water resources engineering. Using numerous esoteric variables, one can calculate daily reference evapotranspiration ...

  6. Watching Traffic for an Anomaly: Data Visualization

    E-Print Network [OSTI]

    Patwari, Neal

    -generated map -20 -15 -10 -5 0 5 10 15 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2 2.5 ATLA CHIN DNVR HSTN IPLS KSCY LOSA NYCM SNVA STTL WASH -20 -15 -10 -5 0 5 10 15 20 -8 -6 -4 -2 0 2 4 6 8 10 ATLA CHIN DNVR HSTN IPLS KSCY LOSA [1] Plonka, D. "FlowScan: A Network Traffic Flow Reporting and Visualization Tool". In Proc. LISA

  7. Traffic lights for crop-based biofuels

    E-Print Network [OSTI]

    Phalan, Ben

    stream_source_info Phalan_311010.pdf.txt stream_content_type text/plain stream_size 11462 Content-Encoding UTF-8 stream_name Phalan_311010.pdf.txt Content-Type text/plain; charset=UTF-8 Traffic lights for crop-based biofuels Ben... if it reduces the number of pedestrians killed and injured. How is this relevant to biofuels? There are many different kinds of biofuels, including some with considerable potential to generate cleaner energy and boost rural economies, but also others which...

  8. Generic vehicle speed models based on traffic simulation: Development and application

    SciTech Connect (OSTI)

    Margiotta, R.; Cohen, H.; Elkins, G.; Rathi, A.; Venigalla, M.

    1994-12-15

    This paper summarizes the findings of a research project to develop new methods of estimating speeds for inclusion in the Highway Performance Monitoring System (HPMS) Analytical Process. The paper focuses on the effects of traffic conditions excluding incidents (recurring congestion) on daily average ed and excess fuel consumption. A review of the literature revealed that many techniques have been used to predict speeds as a function of congestion but most fail to address the effects of queuing. However, the method of Dowling and Skabardonis avoids this limitation and was adapted to the research. The methodology used the FRESIM and NETSIM microscopic traffic simulation models to develop uncongested speed functions and as a calibration base for the congested flow functions. The chief contributions of the new speed models are the simplicity of application and their explicit accounting for the effects of queuing. Specific enhancements include: (1) the inclusion of a queue discharge rate for freeways; (2) use of newly defined uncongested flow speed functions; (3) use of generic temporal distributions that account for peak spreading; and (4) a final model form that allows incorporation of other factors that influence speed, such as grades and curves. The main limitation of the new speed models is the fact that they are based on simulation results and not on field observations. They also do not account for the effect of incidents on speed. While appropriate for estimating average national conditions, the use of fixed temporal distributions may not be suitable for analyzing specific facilities, depending on observed traffic patterns. Finally, it is recommended that these and all future speed models be validated against field data where incidents can be adequately identified in the data.

  9. Evaluation of detector placement strategies for first generation traffic responsive signal control 

    E-Print Network [OSTI]

    Brehmer, Christopher Lynn

    1996-01-01

    Traffic responsive signal systems rely on system detector data to evaluate current traffic conditions and select a corresponding timing plan from a library of plans. One of the major decisions surrounding the use of traffic responsive signal systems...

  10. Study on the relationship between left-turn traffic operations and safety at signalized intersections 

    E-Print Network [OSTI]

    Lee, Sunghoon

    2009-06-02

    Intersections are the most complex locations in a traffic system and are likely to have a higher crash count than any other location in the system. Intersection safety is related to traffic operations, such as traffic signal and approaching volume...

  11. Annual Report School of Engineering

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Annual Report 1999-2000 School of Engineering University of Connecticut #12;#12;University of Connecticut School of Engineering Annual Report 1999-2000 Table of Contents School of Engineering Annual Departments Chemical Engineering Annual Report Summary

  12. On Efficient Bandwidth Allocation for Traffic Variability in Datacenters

    E-Print Network [OSTI]

    Lui, John C.S.

    On Efficient Bandwidth Allocation for Traffic Variability in Datacenters Jian Guo1 Fangming Liu1 of Hong Kong. Abstract--Datacenter networks suffer unpredictable perfor- mance due to a lack dynamic traffic in datacenter networks. In this paper, we consider the effects of large numbers of short

  13. Jetway: Minimizing Costs on Inter-Datacenter Video Traffic

    E-Print Network [OSTI]

    Li, Baochun

    Jetway: Minimizing Costs on Inter-Datacenter Video Traffic Yuan Feng, Baochun Li Department deploy a number of datacenters inter-connected by high-capacity links, spanning different geographical-to-customer video serving, constitutes a large portion of a cloud provider's inter- datacenter traffic. Charged

  14. ON DATA ACQUISITION, MODELING AND SIMULATION OF HIGHWAY TRAFFIC

    E-Print Network [OSTI]

    pollution, health problems, stress, and discomfort. Therefore, the prediction of traffic jams, 1990): number of vehicles per time unit (traffic intensity), speed of the vehicles, occupancy level of vehicles passing at a certain point in a certain #12; data acquisition interfacing conditioning data

  15. Top-percentile traffic routing problem by Dynamic Programming

    E-Print Network [OSTI]

    Grothey, Andreas

    Top-percentile traffic routing problem by Dynamic Programming Andreas Grothey, Xinan Yang School according to top-percentile pricing. We call this problem the Top-percentile Traffic Routing Problem (Tp problem, which is hard to solve due to the integer variables introduced by top-percentile pricing. Several

  16. Prediction of traffic flow for real-time control 

    E-Print Network [OSTI]

    Chandrasekaran, Priya

    1998-01-01

    The prediction of traffic flow on a network and the relationship of these flows to the traffic control signal settings are major factors in the development of an adaptive real-time signal system. PASSER IV is an arterial system optimization package...

  17. Traffic Light Mapping and Detection Nathaniel Fairfield Chris Urmson

    E-Print Network [OSTI]

    Cortes, Corinna

    Traffic Light Mapping and Detection Nathaniel Fairfield Chris Urmson {nfairfield, curmson, and lidar to perceive their surroundings, the state of standard traffic lights can only be perceived lights and improve detection of the light state. The prior map also encodes the control semantics

  18. A mathematical model and descent algorithm for bilevel traffic management

    E-Print Network [OSTI]

    Patriksson, Michael

    variables enter as parameters in the travel costs. We consider a (small) variety of model settings, and interpret their workings in terms of the traffic network. Key words: Traffic equilibrium; Stackelberg game derivative; Armijo line search; stationary point. 1 Introduction The need for measures to reduce congestion

  19. Internet Packet Transport: Traffic Control and Network Engineering \\Lambda

    E-Print Network [OSTI]

    Kumar, Anurag

    Internet Packet Transport: Traffic Control and Network Engineering \\Lambda ANURAG KUMAR Dept. of Electrical Communication Engineering Indian Institute of Science Bangalore, 560 012 Abstract The Internet can of store­and­forward (also called elastic) traffic in the Internet. We first motivate the need for feedback

  20. TMN conference Page 1 Traffic Management for IBC networks

    E-Print Network [OSTI]

    Griffin, David

    manager. This is particularly useful for congestion control and load balancing as well as reTMN conference Page 1 Traffic Management for IBC networks by David Griffin (GPT Ltd) and Pravin Patel (Dowty Communications Ltd) 1 Introduction This paper concentrates on the traffic management

  1. Meddle: Middleboxes for Increased Transparency and Control of Mobile Traffic

    E-Print Network [OSTI]

    Legout, Arnaud

    a framework that allows us to intercept and potentially modify traffic generated by mobile devices this function- ality is difficult on mobile devices because it requires warranty- voiding techniques- proach, carriers may manipulate traffic once it leaves the mobile device [13], thus rendering some

  2. Nericell: Rich Monitoring of Roads and Traffic Using Mobile Smartphones

    E-Print Network [OSTI]

    Rajamani, Sriram K.

    Nericell: Rich Monitoring of Roads and Traffic Using Mobile Smartphones Joint work with Prashanth India 1 Ram Ramjee #12;Road and Traffic Monitoring 2 Bangalore Courtesy intersections · Potholes · Road bumps · ... Need to go beyond GPS-based vehicle tracking! #12;Widespread

  3. Pricing Schemes for Metropolitan Traffic Data Markets Negin Golrezaei1

    E-Print Network [OSTI]

    Shahabi, Cyrus

    Marshall School of Business, University of Southern California, Los Angeles, CA 90089 {golrezae, nazerzad of the pricing schemes applicable to data marketplaces in the context of transportation traffic data. Traffic congestion is a growing problem in many metropolitan areas. It not only wastes our time and energy

  4. Comparative Traffic Performance Analysis of Urban Transportation Network Structures

    E-Print Network [OSTI]

    Amini, Behnam; Mojarradi, Morteza; Derrible, Sybil

    2015-01-01

    The network structure of an urban transportation system has a significant impact on its traffic performance. This study uses network indicators along with several traffic performance measures including speed, trip length, travel time, and traffic volume, to compare a selection of seven transportation networks with a variety of structures and under different travel demand conditions. The selected network structures are: modified linear, branch, grid, 3-directional grid, 1-ring web, 2-ring web, and radial. For the analysis, a base origin-destination matrix is chosen, to which different growth factors are applied in order to simulate various travel demand conditions. Results show that overall the 2-ring web network offers the most efficient traffic performance, followed by the grid and the 1-ring networks. A policy application of this study is that the branch, 3-directional grid, and radial networks are mostly suited for small cities with uncongested traffic conditions. In contrast, the 2-ring web, grid, and 1-r...

  5. Annual Report 2001 Annual Report 2001

    E-Print Network [OSTI]

    Habib, Ayman

    The Arctic Institute of North America Annual Report 2001 The Arctic Institute of North America Annual Report 2001 #12;2000 Board of Directors · James Raffan,Seeley's Bay,Ontario (Chair until September 2001) · Murray B. Todd, Calgary,Alberta (Chair as of September 2001) · Luc Bouthillier,Québec City

  6. Library Annual Report Library Annual Report

    E-Print Network [OSTI]

    Tobar, Michael

    Library Annual Report 2007 Library Annual Report 2007 #12;www.library.uwa.edu.au Our mission: By delivering excellent information resources and services the Library is integral to the University's mission of advancing, transmitting and sustaining knowledge. Our vision: The Library will continue to be at the heart

  7. Their best defense is good fiscal sense (Daily Press) | Jefferson...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    https:www.jlab.orgnewsarticlestheir-best-defense-good-fiscal-sense-daily-press Their best defense is good fiscal sense Top Guard Security finds it can be a good idea to say,...

  8. Visualization of Traffic Flow and Atmospheric Pollutant Flow in Urban Areas

    E-Print Network [OSTI]

    Tokyo, University of

    and air pollutants using polygons and translucent particles. The system is applied for public roads around.transport.iis.u-tokyo.ac.jp CCity modelity model Air pollutionAir pollution simsim.. TrafficTraffic simsim.. CCity modelity model Air pollutionAir pollution simsim.. TrafficTraffic simsim.. #12;

  9. The impact of gasoline price changes on traffic safety: a time geography explanation Guangqing Chi a,

    E-Print Network [OSTI]

    Levinson, David M.

    The impact of gasoline price changes on traffic safety: a time geography explanation Guangqing Chi, United States a r t i c l e i n f o Keywords: Time geography Gasoline prices Traffic safety Traffic crashes Fatal crashes Space­time path a b s t r a c t The impact of gasoline price changes on traffic

  10. BBN Technical Memorandum No. 1321 Using Signal Processing to Analyze Wireless Data Traffic

    E-Print Network [OSTI]

    Strayer, William Timothy

    such as tunneling, traf- fic aggregation, false traffic generation, and data padding. Tunneling hides the original and uses security gateways as the endpoints as traffic traverses hostile networks. Traffic aggregation works with tunneling under the theory of protection in numbers--many traffic flows all sharing the same

  11. Predicting traffic speed in urban transportation subnetworks for multiple horizons

    E-Print Network [OSTI]

    Jaillet, Patrick

    such as route guidance, urban traffic control and management, and sustainable mobility [1]­[3]. Consequently Laboratory for Information and Decision Systems, MIT, Cambridge, MA. 4 Center for Future Urban Mobility

  12. Fact #667: March 21, 2011 Fuel Wasted in Traffic Congestion

    Broader source: Energy.gov [DOE]

    The researchers at the Texas Transportation Institute have recently published new estimates of the effects of traffic congestion. The trend toward increased congestion eased in 2007 and 2008 with...

  13. Decision support systems for automated terminal area air traffic control

    E-Print Network [OSTI]

    Pararas, John Demetrios

    1982-01-01

    This work studies the automation of the terminal area Air Traffic Management and Control (ATM/C) system. The ATM/C decision-making process is analyzed and broken down into a number of "automation functions". Each of these ...

  14. Observability of Origin-Destination matrices for Dynamic Traffic Assignment

    E-Print Network [OSTI]

    Gupta, Ashish, S.M. Massachusetts Institute of Technology

    2005-01-01

    The estimation of dynamic Origin-Destination (O-D) matrices from aggregated sensor counts is one of the most important and well-researched problems in Dynamic Traffic Assignment (DTA) systems. In practice, more often than ...

  15. Generalized Cost Function Based Forecasting for Periodically Measured Nonstationary Traffic

    E-Print Network [OSTI]

    Zeng, Yong - Department of Mathematics and Statistics, University of Missouri

    1 Generalized Cost Function Based Forecasting for Periodically Measured Nonstationary Traffic true value. However, such a forecast- ing function is not directly applicable for applications potentially result in insufficient allocation of bandwidth leading to short term data loss. To facilitate

  16. Intelligent Cruise Control design based on a traffic flow specification 

    E-Print Network [OSTI]

    Huandra, Rusli

    1998-01-01

    The principal objectives of the Automated Highway graphics. System (AHS), an Intelligent Transportation System (ITS) technology, are to increase the safety and through-put of the existing highway by traffic automation. Advanced Vehicle Control...

  17. Robust decision-support tools for airport surface traffic

    E-Print Network [OSTI]

    Carr, Francis R. (Francis Russell), 1976-

    2004-01-01

    Forecasts of departure demand are one of the driving inputs to tactical decision-support tools (DSTs) for airport surface traffic. While there are well-known results on average- or worst-case forecast uncertainty, it is ...

  18. Robust Decision-Support Tools for Airport Surface Traffic

    E-Print Network [OSTI]

    Carr, Francis R.

    Forecasts of departure demand are one of the driving inputs to tactical decision-support tools (DSTs) for airport surface traffic. While there are well-known results on average- or worst-case forecast uncertainty, it is ...

  19. On Dominant Characteristics of Residential Broadband Internet Traffic

    E-Print Network [OSTI]

    Paxson, Vern

    of rich access allows users to tightly integrate network use into their lives--from checking the weather-to-peer--traffic dominates by a significant margin; that more often than not the home user's imme- diate ISP connectivity

  20. Microsoft Word - Results_of_the_Independent_Hanford_Traffic_Safety...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2010 To: ALL HANFORD EMPLOYEES Subject: RESULTS OF INDEPENDENT HANFORD TRAFFIC SAFETY STUDY AND NEXT STEPS One of the most hazardous situations that most of us face each day is...

  1. An Ising Model for Road Traffic Cyril Furtlehner

    E-Print Network [OSTI]

    Furtlehner, Cyril

    Chapter 1 An Ising Model for Road Traffic Inference Cyril Furtlehner Abstract We review some, as a minimizer of a Bethe free energy [32], a solver of the cavity equations [21] and its relation to the TAP

  2. Structural and safety characteristics and warrants for highway traffic barriers 

    E-Print Network [OSTI]

    Kohutek, Terry Lee

    1975-01-01

    Ross Highway traffic barriers are highway appurtenances that provide vehicle occupants with a relative degree of protection from roadside hazards and from errant vehicles encroaching across a median. The six basic types of traffic barr1ers are roads... are decision criteria that 1dentify sites along highways that need traff1c barrier installations. Structural and safety character- istics of the barr1ers refer to the impact performance, the structural integrity, and the safety of the vehicle occupants upon...

  3. Historical Natural Gas Annual

    U.S. Energy Information Administration (EIA) Indexed Site

    Annual . 1996 Published October 1997 1997 Published October 1998 1998 Published October 1999 1999 Published October 2000 2000 Published December 2001...

  4. OPSI Annual Meeting

    Broader source: Energy.gov [DOE]

    The Organization of PJM States, Inc. (OPSI) is hosting its annual meeting in Chicago, IL, on October 13-14, 2014.

  5. EMSL 2009 Annual Report

    SciTech Connect (OSTI)

    Showalter, Mary Ann; Kathmann, Loel E.; Manke, Kristin L.; Wiley, Julie G.; Reed, Jennifer R.

    2010-02-26

    The EMSL 2009 Annual Report describes the science conducted at EMSL during 2009 as well as outreach activities and awards and honors received by users and staff.

  6. SPEER Third Annual Summit

    Broader source: Energy.gov [DOE]

    The South-Central Partnership for Energy Efficiency as a Resource (SPEER) is hosting their 3rd Annual Summit in Dallas, Texas.

  7. SFU LIBRARY ANNUAL REPORT

    E-Print Network [OSTI]

    SFU LIBRARY ANNUAL REPORT 2006/07 #12;22 TABLE OF CONTENTS Message from the University Librarian................................................... ....................................... 7 WAC Bennett Library.................................................................. ....................................... 8 Samuel and Frances Belzberg Library

  8. Required Annual Notices

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Annual Notices The Women's Health and Cancer Rights Act of 1998 (WHCRA) The medical programs sponsored by LANS will not restrict benefits if you or your dependent receives...

  9. Required Annual Notices

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Required Annual Notices The Women's Health and Cancer Rights Act of 1998 (WHCRA) The medical programs sponsored by LANS will not restrict benefits if you or your dependent...

  10. Annual Performance Report FY 2004 Annual Performance Plan FY...

    Broader source: Energy.gov (indexed) [DOE]

    I am pleased to present the Office of Inspector General's (OIG's) combined Fiscal Year 2004 Annual Performance Report and Fiscal Year 2005 Annual Performance Plan. In Fiscal Year...

  11. A rigorous treatment of a follow-the-leader traffic model with traffic lights present

    SciTech Connect (OSTI)

    Argall, Brenna; Cheleshkin, Eugene; Greenberg, J.M.; Hinde, Colin; Lin, Pei-Jen

    2003-07-16

    Traffic flow on a unidirectional roadway in the presence of traffic lights is modeled. Individual car responses to green, yellow, and red lights are postulated and these result in rules governing the acceleration and deceleration of individual cars. The essence of the model is that only specific cars are directly affected by the lights. The other cars behave according to simple follow-the-leader rules which limit their speed by the spacing between it and the car directly ahead. The model has a number of desirable properties; namely cars do not run red lights, cars do not smash into one another, and cars exhibit no velocity reversals. In a situation with multiple lights operating in-phase we get, after an initial startup period, a constant number of cars through each light during any green-yellow period. Moreover, this flux is less by one or two cars per period than the flux obtained in discretized versions of the idealized Lighthill, Whitham, Richards model which allows for infinite accelerations.

  12. Forest Research Annual Report

    E-Print Network [OSTI]

    Forest Research Annual Report and Accounts 2005­2006 The research agency of the Forestry Commission #12;Forest Research Annual Report and Accounts I 2005­2006 Together with the Comptroller and Auditor to be printed 24 July 2006 HC 1407 The research agency of the Forestry Commission Edinburgh: The Stationery

  13. Annual Energy Review, 2008

    SciTech Connect (OSTI)

    2009-06-01

    The Annual Energy Review (AER) is the Energy Information Administration's (EIA) primary report of annual historical energy statistics. For many series, data begin with the year 1949. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international energy; financial and environment indicators; and data unit conversions.

  14. Annual Site Environmental Report: 2005

    SciTech Connect (OSTI)

    sabba, d

    2007-02-03

    This report provides information about environmental programs during 2005 at the Stanford Linear Accelerator Center (SLAC). Seasonal activities that span calendar years are also included. Production of an annual site environmental report (ASER) is a requirement established by the United States Department of Energy (DOE) for all management and operating (M&O) contractors throughout the DOE complex. SLAC is a federally-funded research and development center with Stanford University as the M&O contractor. SLAC effectively applied environmental management in meeting the site's integrated safety and environmental management system (ISEMS) goals. For normal daily activities, all SLAC managers and supervisors are responsible for ensuring that proper procedures are followed so that: (1) Worker safety and health are protected; (2) The environment is protected; and (3) Compliance is ensured. Throughout 2005, SLAC focused on these activities through the SLAC management systems (described in Chapter 3). These systems were also the way SLAC approached implementing ''greening of the government'' initiatives such as Executive Order 13148. The management systems at SLAC are effective, supporting compliance with all relevant statutory and regulatory requirements. There were no reportable releases to the environment from SLAC operations during 2005. In addition, many improvements were continued during 2005, in waste minimization, recycling, stormwater drain system, groundwater restoration, and implementing a chemical management system (CMS) to better manage chemical use. Program-specific details are discussed.

  15. Description: Lithium batteries are used daily in our work

    E-Print Network [OSTI]

    Description: Lithium batteries are used daily in our work activities from flashlights, cell phones containing one SureFire 3-volt non-rechargeable 123 lithium battery and one Interstate 3-volt non-rechargeable 123 lithium battery. A Garage Mechanic had the SureFire flashlight in his shirt pocket with the lens

  16. Is proportion burned severely related to daily area burned?

    E-Print Network [OSTI]

    burn severity for individual daily areas burned that occurred during 42 large forest fires in central progression, forest fires, infrared perimeter mapping, northern Rockies 1. Introduction Extreme wildfires Yellowstone Fires (Turner et al 1994), the 1997 Indonesian Forest Fires, and the Australian Black Saturday

  17. TRIP / DAILY OPERATOR CHECKLIST CALIFORNIA STATE UNIVERSITY, LONG BEACH

    E-Print Network [OSTI]

    Sorin, Eric J.

    TRIP / DAILY OPERATOR CHECKLIST CALIFORNIA STATE UNIVERSITY, LONG BEACH Date_____________ License Needing Attention Overheating Oil Leaking Knocks No power Oil pressure loss Noisy Slips Poor release Grabs Chatters Noisy Oil leakage Hard shifting Slips during shifts ( Shimmy-wander Free play Wheel balance Hard

  18. Gridding NCDC daily meteorological data Version 2.0

    E-Print Network [OSTI]

    Washington at Seattle, University of

    1 Gridding NCDC daily meteorological data Version 2.0 Greg O'Donnell, Bernt V. Matheussen, Alan, and 2) appending more recent data downloaded from the NCDC On-Line Web Site. The core of the gridding;3 1.1 Basin Definition Before any preprocessing is possible the basin boundary at the gridded

  19. Surviving racism: African Nova Scotian women talk about the daily

    E-Print Network [OSTI]

    Brownstone, Rob

    Surviving racism: African Nova Scotian women talk about the daily racism they've experienced a discussion Wednesday as part of Dalhousie's Global Health Rounds. Titled "Surviving Racism and its Impact Scotia #12;does not still have a history of racism and I can assure you that that history is strong

  20. Predicting Daily Net Radiation Using Minimum Climatological Data1

    E-Print Network [OSTI]

    .1061/ ASCE 0733-9437 2003 129:4 256 CE Database subject headings: Radiation; Solar radiationPredicting Daily Net Radiation Using Minimum Climatological Data1 S. Irmak, M.ASCE2 ; A. Irmak3 ; J Abstract: Net radiation (Rn) is a key variable for computing reference evapotranspiration and is a driving

  1. Traffic Optimization to Control Epidemic Outbreaks in Metapopulation Models

    E-Print Network [OSTI]

    Preciado, Victor M

    2013-01-01

    We propose a novel framework to study viral spreading processes in metapopulation models. Large subpopulations (i.e., cities) are connected via metalinks (i.e., roads) according to a metagraph structure (i.e., the traffic infrastructure). The problem of containing the propagation of an epidemic outbreak in a metapopulation model by controlling the traffic between subpopulations is considered. Controlling the spread of an epidemic outbreak can be written as a spectral condition involving the eigenvalues of a matrix that depends on the network structure and the parameters of the model. Based on this spectral condition, we propose a convex optimization framework to find cost-optimal approaches to traffic control in epidemic outbreaks.

  2. Methods and systems for detecting abnormal digital traffic

    DOE Patents [OSTI]

    Goranson, Craig A [Kennewick, WA; Burnette, John R [Kennewick, WA

    2011-03-22

    Aspects of the present invention encompass methods and systems for detecting abnormal digital traffic by assigning characterizations of network behaviors according to knowledge nodes and calculating a confidence value based on the characterizations from at least one knowledge node and on weighting factors associated with the knowledge nodes. The knowledge nodes include a characterization model based on prior network information. At least one of the knowledge nodes should not be based on fixed thresholds or signatures. The confidence value includes a quantification of the degree of confidence that the network behaviors constitute abnormal network traffic.

  3. The design of a traffic control system with distributed intelligence 

    E-Print Network [OSTI]

    Tietjen, Donald Louis

    1973-01-01

    the transition from one synchro- n1zat1on scheme to another on the basis of measurements of traffic This thesis fo11 s th ty1 d f t f th ~oot di ~ s of th Istitt ofEIeti I dEI t I ~Ei ~ Ts. at some key points in an arterial network (2). Instead of a traffic.... Mew Time Address RON( ARO~' I ARO"I 2 To Off- line memory From "11nl- comnuter From 0n-line "emory Instruction Register 'Jext Time Address To Lights &i gure S. Two-'1emory System 18 The main limitation of this system design is the cost...

  4. Engineering and policy analysis of strategic and tactical options for future aerospace traffic management

    E-Print Network [OSTI]

    Falker, John M

    2002-01-01

    Current space launch/landing events are conducted only within Special Use Airspace (SUA), separate from air traffic. This is a strategic traffic management policy because SUA size and duration are set well in advance. It ...

  5. An Analysis of the Impact of Reducing Pedestrian-Walking-Speed on Intersection Traffic MOEs 

    E-Print Network [OSTI]

    Li, Xiaohan

    2015-01-26

    Pedestrian traffic is an important element in signalized intersection analysis. As a low-speed traffic component, pedestrians crossing the street may take up time that could be utilized by vehicles on the other street to ...

  6. Congestion-aware traffic routing for large-scale mobile agent systems

    E-Print Network [OSTI]

    Lim, Sejoon

    2012-01-01

    Traffic congestion is a serious world-wide problem. Drivers have little knowledge of historical and real-time traffic congestion for the paths they take and often tend to drive suboptimal routes. Congestion phenomena are ...

  7. Link-State Routing with Hop-by-Hop Forwarding Can Achieve Optimal Traffic Engineering

    E-Print Network [OSTI]

    Chiang, Mung

    -state routing. Keywords: Interior gateway protocol, traffic engineering, rout- ing, OSPF, optimization, network-to-end tunneling. Such simplicity was thought to come at the expense of optimality. In a procedure known as Traffic

  8. Facilitation of visual pattern recognition by extraction of relevant features from microscopic traffic data 

    E-Print Network [OSTI]

    Fields, Matthew James

    2009-05-15

    1985 study by JHK and Associates (traffic research) for the Federal Highway Administration, covers an hour long time period over a quarter mile section and includes nine different identifying features for traffic at any given time. The initial step...

  9. The integration of Automatic Speech Recognition into the Air Traffic Control system

    E-Print Network [OSTI]

    Karlsson Joakim

    1990-01-01

    Today, the Air Traffic Control (ATC) system relies primarily on verbal communication between the air traffic controllers and the pilots of the aircraft in the controlled airspace. Although a computer system exists that ...

  10. MICRO SIMULATION OF CITY TRAFFIC FLOWS IN SUPPORT OF PREDICTIVE OPERATIONAL CONTROL

    E-Print Network [OSTI]

    Bargiela, Andrzej

    of the modelling process and the prediction model. Several types of traffic models have been used with demand- responsive traffic control systems. In parallel with the development of new control systems, there have been

  11. PARALEL SIMULATION OF CITY TRAFFIC FLOWS USING "PADSIM" (Probabilistic ADaptive SImulation Model)

    E-Print Network [OSTI]

    Bargiela, Andrzej

    of the modelling process and the prediction model. Several types of traffic models have been used with demand- responsive traffic control systems. In parallel with the development of new control systems, there have been

  12. Utilizing Correlations to Compress Time-Series in Traffic Monitoring Sensor Networks

    E-Print Network [OSTI]

    Martin, Ralph R.

    at £20bn. In urban areas, transport is the major source of carbon dioxide emissions, and traffic Cambridge testbed (Figure 1) and the spatio- temporal properties of a real traffic dataset. Section III

  13. Creating a Systems Engineering Approach for the Manual on Uniform Traffic Control Devices 

    E-Print Network [OSTI]

    McNeal, Heather

    2010-07-14

    The Manual on Uniform Traffic Control Devices (MUTCD) establishes the basic principles for the design, selection, installation, operation, maintenance, and removal of traffic control devices (TCDs). The MUTCD indicates ...

  14. Road traffic noise modifies behaviour of a keystone species Graeme Shannon a, *

    E-Print Network [OSTI]

    Angeloni, Lisa

    Road traffic noise modifies behaviour of a keystone species Graeme Shannon a, * , Lisa M. Angeloni the influence of traffic noise on foraging and vigilance in a keystone species in North American prairie systems

  15. 2010 Annual Report

    SciTech Connect (OSTI)

    none,

    2010-01-01

    This annual report includes: an overview of Western; approaches for future hydropower and transmission service; major achievements in FY 2010; FY 2010 customer Integrated Resource Planning, or IRP, survey; and financial data.

  16. 2009 Annual Report

    SciTech Connect (OSTI)

    none,

    2009-01-01

    This annual report includes: a brief overview of Western; some of our major achievements in FY 2009; FY 2009 customer Integrated Resource Planning, or IRP, survey; and financial data.

  17. NARUC Annual Meeting

    Broader source: Energy.gov [DOE]

    The National Association of Regulatory Utility Commissioneers (NARUC) is hosting its annual meeting in San Fransisco, CA, from Nov. 16-19, 2014. Registration and housing begins Aug. 27. 

  18. JAHRESBERICHT ANNUAL REPORT07

    E-Print Network [OSTI]

    Falge, Eva

    JAHRESBERICHT ANNUAL REPORT07 #12;Forschungsausblick Klaus J. Hopt über Corporate Governance Ferdi Schüth über zukünftige Energiesysteme Axel Ullrich über innovative Krebsmedikamente Research Outlook Klaus J. Hopt about Corporate Governance Ferdi Schüth about Future Energy Systems Axel Ullrich about New

  19. Cointegration of the Daily Electric Power System Load and the Weather

    E-Print Network [OSTI]

    Stefanov, Stefan Z

    2007-01-01

    The paper examines the cointegration of the daily electric power system load and the weather by a field intelligent system. The daily load has been modelled by dynamic regressions. A "Daily Artificial Dispather" thermal intelligent system has been costructed. Time and energy tests have been obtained for this intelligent system. The improvement in the daily load forecast, achieved by this intelligent system, has been obtained. The predicted daily electricity price has been found.

  20. Natural gas annual 1995

    SciTech Connect (OSTI)

    1996-11-01

    The Natural Gas Annual provides information on the supply and disposition of natural gas to a wide audience including industry, consumers, Federal and State agencies, and educational institutions. The 1995 data are presented in a sequence that follows natural gas (including supplemental supplies) from its production to its end use. This is followed by tables summarizing natural gas supply and disposition from 1991 to 1995 for each Census Division and each State. Annual historical data are shown at the national level.

  1. Natural gas annual 1994

    SciTech Connect (OSTI)

    NONE

    1995-11-17

    The Natural Gas Annual provides information on the supply and disposition of natural gas to a wide audience including industry, consumers, Federal and State agencies, and educational institutions. The 1994 data are presented in a sequence that follows natural gas (including supplemental supplies) from its production to its end use. This is followed by tables summarizing natural gas supply and disposition from 1990 to 1994 for each Census Division and each State. Annual historical data are shown at the national level.

  2. Boise Air Traffic Control Tower: High Performance and sustainable Building Guiding Principles Technical Assistance

    SciTech Connect (OSTI)

    Fowler, Kimberly M.; Goel, Supriya; Henderson, Jordan W.

    2013-09-01

    Overview of energy efficiency opportunities for new FAA tower construction using the Boise Air Traffic Control Tower as an example.

  3. Water Rights Analysis Package (WRAP) Daily Modeling System 

    E-Print Network [OSTI]

    Wurbs, R.; Hoffpauir, R.

    2012-10-01

    Modeling System TR-430 Texas Water Resources Institute College Station, Texas August 2012 by Ralph A. Wurbs and Richard J. Hoffpauir Texas A&M University Water Rights Analysis Package (WRAP) Daily Modeling System...-9-89809 (2008-2011) Contract 582-12-10220 (2011-2013) Technical Report No. 430 Texas Water Resources Institute The Texas A&M University System College Station, Texas 77843-2118 August 2012 ii iii TABLE OF CONTENTS Chapter 1 Water...

  4. Air traffic complexity and the interacting particle system method: An integrated approach for collision risk estimation

    E-Print Network [OSTI]

    Del Moral , Pierre

    Air traffic complexity and the interacting particle system method: An integrated approach explore the possibility of using air traffic complexity metrics to accelerate the Interacting Particle to assess the performance and impact of, e.g., possible modifications of the current air traffic management

  5. On the Convergence of Statistical Techniques for Inferring Network Traffic Demands

    E-Print Network [OSTI]

    On the Convergence of Statistical Techniques for Inferring Network Traffic Demands Alberto Medina 1 knowledge of traffic demands in a communication net­ work enables or enhances a variety of traffic measuring a complete set of these demands is prohibitively expensive because of the huge amounts of data

  6. Automatic Model Classification of Measured Internet Traffic Yi Zeng and Thomas M. Chen

    E-Print Network [OSTI]

    Chen, Thomas M.

    issues for future work. II. MODEL-LIBRARY TRAFFIC CLASSIFICATION Many traffic models have been developed Model 2 module ... Model library Fig. 1. General model classification system In the general case with NAutomatic Model Classification of Measured Internet Traffic Yi Zeng and Thomas M. Chen Department

  7. Integration of an Aggregate Flow Model with a Traffic Flow Simulator

    E-Print Network [OSTI]

    Integration of an Aggregate Flow Model with a Traffic Flow Simulator Robert Hoffman , Dengfeng Sun restrictions to aircraft movement are applied by air traffic controllers and traffic managers in response to demand overages or capacity shortfalls in sectors of airspace. To estimate and assess the efficiency

  8. Coupling traffic models on networks and urban dispersion models for simulating sustainable

    E-Print Network [OSTI]

    Ceragioli, Francesca

    models for modeling and testing different traffic scenarios, in order to define the impact on air quality it with the urban dispersion model Sirane. Keywords: urban air quality, macroscopic traffic models, road networks, pollutant dispersion models, traffic emissions control. AMS subject classification: 35L65, 35L67, 60K30, 90B

  9. Review of Urban Bicyclists' Intake and Uptake of Traffic-Related Air Pollution

    E-Print Network [OSTI]

    Bertini, Robert L.

    Review of Urban Bicyclists' Intake and Uptake of Traffic-Related Air Pollution ALEXANDER Y. BIGAZZI- clists may experience increased inhalation of traffic-related air pollutants. Bicyclists have two to five regarding urban bicyclists' intake and uptake of traffic-related air pollution and to identify key knowledge

  10. Review of Urban Bicyclists' Intake and Uptake of Traffic-Related Air Pollution

    E-Print Network [OSTI]

    Bertini, Robert L.

    1 Review of Urban Bicyclists' Intake and Uptake of Traffic-Related Air Pollution Alexander Y of Traffic-Related Air Pollution Abstract Bicycling as a mode of transportation is enjoying a boost in many while bicycling, bicyclists may experience increased inhalation of traffic-related air pollutants

  11. Topographically-Based Real-Time Traffic Anomaly Detection in a Metropolitan Highway System

    E-Print Network [OSTI]

    Grossman, Robert

    Topographically-Based Real-Time Traffic Anomaly Detection in a Metropolitan Highway System Rajmonda metropolitan area. Our Chicago Alert System (CAS) considers both the spatial and temporal aspects of the data of attack, the need for real-time traffic management is crucial. Real-time traffic management encompasses

  12. Gasoline price effects on traffic safety in urban and rural areas: Evidence from Minnesota, 19982007

    E-Print Network [OSTI]

    Levinson, David M.

    Gasoline price effects on traffic safety in urban and rural areas: Evidence from Minnesota, 1998 February 2012 Received in revised form 3 May 2013 Accepted 24 May 2013 Keywords: Gasoline prices Traffic examines the role of gasoline prices in the occurrence of traffic crashes. However, no studies have

  13. The Case for Fine-Grained Traffic Engineering in Data Centers Theophilus Benson

    E-Print Network [OSTI]

    Liblit, Ben

    Computer Sciences Department The Case for Fine-Grained Traffic Engineering in Data Centers-Grained Traffic Engineering in Data Centers Theophilus Benson , Aditya Akella and Ming Zhang University of Wisconsin-Madison; Microsoft Research Abstract Data center traffic characteristics are not well under

  14. MicroTE: Fine Grained Traffic Engineering for Data Centers Theophilus Benson

    E-Print Network [OSTI]

    Akella, Aditya

    MicroTE: Fine Grained Traffic Engineering for Data Centers Theophilus Benson , Ashok Anand , Aditya center traffic characteristics on data cen- ter traffic engineering is not well understood. In particu on the network making it appro- priate for current and future data centers. Categories and Subject Descriptors C

  15. Towards Robust Multi-layer Traffic Engineering: Optimization of Congestion Control and Routing

    E-Print Network [OSTI]

    Singh, Jaswinder Pal

    Towards Robust Multi-layer Traffic Engineering: Optimization of Congestion Control and Routing. Keywords: Congestion control, Traffic Engineering, Network util- ity maximization, Optimization, Robustness, in a process known as traffic engineering. TCP congestion control assumes that the network paths do not change

  16. Improvement of the Road Traffic Management by an Ant-Hierarchical Fuzzy System

    E-Print Network [OSTI]

    Casillas Barranquero, Jorge

    of the road network capacity [3], the improvement of the traffic safety, the minimization of the energyImprovement of the Road Traffic Management by an Ant-Hierarchical Fuzzy System Habib M. Kammoun@decsai.ugr.es Abstract--In view of dynamicity on road networks and the sharp increase of traffic jam states, the road

  17. Forecasting Spatiotemporal Impact of Traffic Incidents on Road Networks Bei Pan, Ugur Demiryurek, Cyrus Shahabi

    E-Print Network [OSTI]

    Shahabi, Cyrus

    Forecasting Spatiotemporal Impact of Traffic Incidents on Road Networks Bei Pan, Ugur Demiryurek and quantifying the impact of traffic incidents. Traffic incidents include any non-recurring events on road networks, including accidents, weather hazard, road construction or work zone closures. By analyzing

  18. Nericell: Rich Monitoring of Road and Traffic Conditions using Mobile Smartphones

    E-Print Network [OSTI]

    Rajamani, Sriram K.

    Nericell: Rich Monitoring of Road and Traffic Conditions using Mobile Smartphones Prashanth Mohan@microsoft.com Microsoft Research India, Bangalore ABSTRACT We consider the problem of monitoring road and traffic con to be much more com- plex owing to varied road conditions (e.g., potholed roads), chaotic traffic (e

  19. Extreme event statistics of daily rainfall: Dynamical systems approach

    E-Print Network [OSTI]

    G. Cigdem Yalcin; Pau Rabassa; Christian Beck

    2015-08-15

    We analyse the probability densities of daily rainfall amounts at a variety of locations on the Earth. The observed distributions of the amount of rainfall fit well to a q-exponential distribution with exponent q close to q=1.3. We discuss possible reasons for the emergence of this power law. On the contrary, the waiting time distribution between rainy days is observed to follow a near-exponential distribution. A careful investigation shows that a q-exponential with q=1.05 yields actually the best fit of the data. A Poisson process where the rate fluctuates slightly in a superstatistical way is discussed as a possible model for this. We discuss the extreme value statistics for extreme daily rainfall, which can potentially lead to flooding. This is described by Frechet distributions as the corresponding distributions of the amount of daily rainfall decay with a power law. On the other hand, looking at extreme event statistics of waiting times between rainy days (leading to droughts for very long dry periods) we obtain from the observed near-exponential decay of waiting times an extreme event statistics close to Gumbel distributions. We discuss superstatistical dynamical systems as simple models in this context.

  20. Extreme event statistics of daily rainfall: Dynamical systems approach

    E-Print Network [OSTI]

    Yalcin, G Cigdem; Beck, Christian

    2015-01-01

    We analyse the probability densities of daily rainfall amounts at a variety of locations on the Earth. The observed distributions of the amount of rainfall fit well to a q-exponential distribution with exponent q close to q=1.3. We discuss possible reasons for the emergence of this power law. On the contrary, the waiting time distribution between rainy days is observed to follow a near-exponential distribution. A careful investigation shows that a q-exponential with q=1.05 yields actually the best fit of the data. A Poisson process where the rate fluctuates slightly in a superstatistical way is discussed as a possible model for this. We discuss the extreme value statistics for extreme daily rainfall, which can potentially lead to flooding. This is described by Frechet distributions as the corresponding distributions of the amount of daily rainfall decay with a power law. On the other hand, looking at extreme event statistics of waiting times between rainy days (leading to droughts for very long dry periods) w...

  1. Traffic-Aware Video Streaming in Broadband Wireless Networks

    E-Print Network [OSTI]

    Ansari, Nirwan

    Traffic-Aware Video Streaming in Broadband Wireless Networks Ehsan Haghani and Nirwan Ansari Shyam in the Internet. Streaming real-time video in wireless networks is a challenging problem due to the stringent video quality at the end user in wireless networks. Our solution incorporates the characteristics

  2. BlindBox: Deep Packet Inspection over Encrypted Traffic

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    BlindBox: Deep Packet Inspection over Encrypted Traffic Justine Sherry UC Berkeley Chang Lan UC middleboxes perform deep packet inspection (DPI), a set of useful tasks which examine packet payloads that simultaneously provides both of these properties. The approach of Blind- Box is to perform the deep

  3. Data Streaming Algorithms for Estimating Entropy of Network Traffic

    E-Print Network [OSTI]

    Sekar, Vyas

    distributions has been shown to aid a wide variety of network monitoring applications such as anomaly detection, clustering to reveal interesting patterns, and traffic classification. However, realizing this potential Research Office contract number DAAD19-02-1-0389. Permission to make digital or hard copies of all or part

  4. A Mathematical Analysis of Air Traffic Priority Rules Anthony Narkawicz

    E-Print Network [OSTI]

    Muñoz, César A.

    A Mathematical Analysis of Air Traffic Priority Rules Anthony Narkawicz C´esar A. Mu~noz Jeffrey of important properties. Specific properties considered in this paper include safety, exclusiveness presents an analytical framework to examine key safety properties of implicit coordination for non

  5. Evaluation of Non-intrusive Traffic Detection Technologies Phase III

    E-Print Network [OSTI]

    Minnesota, University of

    TPF-5(171) Evaluation of Non-intrusive Traffic Detection Technologies Ð Phase III #12 not intrude into pavement for installation. ·! Sensors above, below or to the side of the roadway qualify;Miovision #12;Miovision #12;Laser-based sensors #12;PEEK AxleLight #12;TIRTL #12;TIRTL #12;#12;#12;#12;

  6. Intelligent Control in Automation Based on Wireless Traffic Analysis

    SciTech Connect (OSTI)

    Kurt Derr; Milos Manic

    2007-09-01

    Wireless technology is a central component of many factory automation infrastructures in both the commercial and government sectors, providing connectivity among various components in industrial realms (distributed sensors, machines, mobile process controllers). However wireless technologies provide more threats to computer security than wired environments. The advantageous features of Bluetooth technology resulted in Bluetooth units shipments climbing to five million per week at the end of 2005 [1, 2]. This is why the real-time interpretation and understanding of Bluetooth traffic behavior is critical in both maintaining the integrity of computer systems and increasing the efficient use of this technology in control type applications. Although neuro-fuzzy approaches have been applied to wireless 802.11 behavior analysis in the past, a significantly different Bluetooth protocol framework has not been extensively explored using this technology. This paper presents a new neurofuzzy traffic analysis algorithm of this still new territory of Bluetooth traffic. Further enhancements of this algorithm are presented along with the comparison against the traditional, numerical approach. Through test examples, interesting Bluetooth traffic behavior characteristics were captured, and the comparative elegance of this computationally inexpensive approach was demonstrated. This analysis can be used to provide directions for future development and use of this prevailing technology in various control type applications, as well as making the use of it more secure.

  7. Intelligent Control in Automation Based on Wireless Traffic Analysis

    SciTech Connect (OSTI)

    Kurt Derr; Milos Manic

    2007-08-01

    Wireless technology is a central component of many factory automation infrastructures in both the commercial and government sectors, providing connectivity among various components in industrial realms (distributed sensors, machines, mobile process controllers). However wireless technologies provide more threats to computer security than wired environments. The advantageous features of Bluetooth technology resulted in Bluetooth units shipments climbing to five million per week at the end of 2005 [1, 2]. This is why the real-time interpretation and understanding of Bluetooth traffic behavior is critical in both maintaining the integrity of computer systems and increasing the efficient use of this technology in control type applications. Although neuro-fuzzy approaches have been applied to wireless 802.11 behavior analysis in the past, a significantly different Bluetooth protocol framework has not been extensively explored using this technology. This paper presents a new neurofuzzy traffic analysis algorithm of this still new territory of Bluetooth traffic. Further enhancements of this algorithm are presented along with the comparison against the traditional, numerical approach. Through test examples, interesting Bluetooth traffic behavior characteristics were captured, and the comparative elegance of this computationally inexpensive approach was demonstrated. This analysis can be used to provide directions for future development and use of this prevailing technology in various control type applications, as well as making the use of it more secure.

  8. The Path Less Travelled: Overcoming Tor's Bottlenecks with Traffic Splitting

    E-Print Network [OSTI]

    Goldberg, Ian

    The Path Less Travelled: Overcoming Tor's Bottlenecks with Traffic Splitting Mashael AlSabah, Kevin of Computer Science University of Waterloo Abstract. Tor is the most popular low-latency anonymity network, Tor has a variety of performance problems that result in poor quality of service, a strong

  9. Traffic Analysis Attacks and Defenses in Low Latency Anonymous Communication

    E-Print Network [OSTI]

    Keromytis, Angelos D.

    the true network identity of com- municating parties against eavesdropping adversaries. Tor, acronym for The Onion Router, is an example of such a system. Such systems relay the traffic of their users through an overlay of nodes that are called Onion Routers and are operated by volunteers distributed across the globe

  10. Computation Availability of Crossbar Systems in a Nonuniform Traffic Environment

    E-Print Network [OSTI]

    Atiquzzaman, Mohammed

    Computation Availability of Crossbar Systems in a Non­uniform Traffic Environment M. Atiquzzaman M in the presence of a hot spot in the system. Computation availability is taken as the criteria for measuring as the amount of computation available at time t. The computation availability is based on the system

  11. Frugal Traffic Monitoring with Autonomous Participatory Sensing Vladimir Coric

    E-Print Network [OSTI]

    Vucetic, Slobodan

    hundreds of billions of dollars each year, increases pollution, and has a negative impact on the overall vehicles was introduced [19]. This involved installation of spe- cialized GPS-enabled devices in vehicles such as buses and taxis to monitor position of the vehicles and their speed. The collected traffic data from

  12. Energy-Traffic Tradeoff Cooperative Offloading for Mobile Cloud Computing

    E-Print Network [OSTI]

    Buyya, Rajkumar

    Energy-Traffic Tradeoff Cooperative Offloading for Mobile Cloud Computing Jian Song, Yong Cui Network (WLAN). We propose a novel Energy-Efficient Cooperative Offloading Model (E2COM) for energy operators [8]. In this paper, we propose an Energy-Efficient Cooperative Offloading Model (E2COM) in one

  13. A categorical model for traffic incident likelihood estimation 

    E-Print Network [OSTI]

    Kuchangi, Shamanth

    2007-04-25

    In this thesis an incident prediction model is formulated and calibrated. The primary idea of the model developed is to correlate the expected number of crashes on any section of a freeway to a set of traffic stream characteristics, so that a...

  14. Comparison of Stochastic Methods for Control in Air Traffic Management

    E-Print Network [OSTI]

    Cambridge, University of

    of dangerous encounters through maintenance of safe separation between aircraft. Loss of the minimum safe safely accommodate (European Commission (2000)). The level of anticipated growth in aviation travel Aviation Authority (2009)). It is untenable to accommodate this anticipated traffic growth without a shift

  15. Understanding Data Center Traffic Characteristics Theophilus Benson, Ashok Anand,

    E-Print Network [OSTI]

    Liblit, Ben

    Understanding Data Center Traffic Characteristics Theophilus Benson, Ashok Anand, Aditya Akella Research Redmond, WA, USA mzh@microsoft.com ABSTRACT As data centers become more and more central patterns in data center networks that can inform and help evaluate research and operational approaches. We

  16. Adaptive Modulation and Scheduling of IP traffic over Fading Channels

    E-Print Network [OSTI]

    the traf- fic load. An obstacle in this context is the time-variability of the channel. To achieve a high to the traffic situation. 1 INTRODUCTION Fading channels confront us with the problem of lost packets. For a predicted value of the Signal to Noise and Interfer- ence Ratio (SNIR) of each channel, the modulation level

  17. Adaptive Modulation and Scheduling of IP traffic over Fading Channels

    E-Print Network [OSTI]

    the traf­ fic load. An obstacle in this context is the time­variability of the channel. To achieve a high to the traffic situation. 1 INTRODUCTION Fading channels confront us with the problem of lost packets. For a predicted value of the Signal to Noise and Interfer­ ence Ratio (SNIR) of each channel, the modulation level

  18. Heavy Traffic Analysis for EDF Queues with December 17, 2007

    E-Print Network [OSTI]

    Ramanan, Kavita

    by the fraction of reneged work (the residual work lost due to elapsed deadlines), which is shown to be minimized by a measure-valued process. The heavy traffic limit of this (properly scaled) process is shown. The fraction of reneged work in a heavily loaded system and the fraction of late work in the corresponding sys

  19. Integration of traffic congestion and predictive modeling offers

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    are far fewer issues when products are flown or driven across the country, but getting them to your home interacting more intimately with traffic congestion, the weather, and other day-to-day variants." To combat, and that is a major motivation," says Mahmassani. "Companies may also want to do the right thing, but we live

  20. Treatment-Based Traffic Classification for Residential Wireless Networks

    E-Print Network [OSTI]

    Kinicki, Robert E.

    provide no QoS support (e.g., the 5th generation Apple Airport Extreme IEEE 802.11n wireless router [101 Treatment-Based Traffic Classification for Residential Wireless Networks Feng Li, Mark Claypool concurrently over bottlenecked wireless access points (APs). This paper presents Classification and Treatment

  1. Author's personal copy Gasoline prices and traffic safety in Mississippi

    E-Print Network [OSTI]

    Levinson, David M.

    more than 16% from 1973 to 1974 when the oil crisis occurred. International oil prices historically-grade unleaded gasoline price data from the Energy Information Administration of the U.S. Department of EnergyAuthor's personal copy Gasoline prices and traffic safety in Mississippi Guangqing Chi a, , Arthur

  2. Measuring Bicyclists' Uptake of Traffic-Related Air Pollution

    E-Print Network [OSTI]

    Bertini, Robert L.

    Measuring Bicyclists' Uptake of Traffic-Related Air Pollution Alex Bigazzi PSU Transportation doses 4.Health effects 4Urban Bicyclists' Pollution Uptake #12;Bicyclists' Exposure to Air Pollution 5 reduce exposure risks for bikers? Urban transportation system Bicyclists' uptake of air pollution #12

  3. Estimating Emissions in Latin America: An Alternative to Traffic Models

    E-Print Network [OSTI]

    Richner, Heinz

    Estimating Emissions in Latin America: An Alternative to Traffic Models Margarita Ossés de Eicker; Hans Hurni, Centre for Development and Environment (CDE), University of Bern, Switzerland Emissions allow precise estimations of these emissions but are too expensive for a broad application. A simplifed

  4. Transport Layer Identification of P2P Traffic Thomas Karagiannis

    E-Print Network [OSTI]

    California at San Diego, University of

    examination of packet payload, a method- ological landmine from legal, privacy, technical, logistic methodology, we also develop a payload technique for P2P traffic identification, by reverse engineering methodological land- mines: legal, privacy, technical, logistic, and financial ob- stacles abound, and overcoming

  5. Using Real-Time Road Traffic Data to Evaluate Congestion

    E-Print Network [OSTI]

    Cambridge, University of

    Using Real-Time Road Traffic Data to Evaluate Congestion Jean Bacon, Andrei Iu. Bejan, Alastair R regression, spline interpolation. 1 Introduction Congestion on roads, especially in urban areas, has a large kilometres in 2008 [2]. #12;Congestion can be tackled either by increasing road network capacity

  6. Hybrid Control Models of Next Generation Air Traffic Management ?

    E-Print Network [OSTI]

    Pappas, George J.

    Hybrid Control Models of Next Generation Air Traffic Management ? C. Tomlin, G. Pappas, J. Lygeros the overcrowding of large urban airports and the need to more efficiently handle larger numbers of aircraft malfunctions, ATC malfunctions (e.g. power failure), shifting winds (that cause changes in approach patterns

  7. A Mathematical Model and Descent Algorithm for Bilevel Traffic Management

    E-Print Network [OSTI]

    Patriksson, Michael

    as traffic signal setting, network design, and congestion pricing. The lower-level problem of the MPEC-relief measures for the quality of life, the environment, and the safety of the citizens not to deteriorate. Any, and how to travel. The criteria by which the user makes these choices are selfish, and are therefore

  8. Dark-matter harmonics beyond annual modulation

    SciTech Connect (OSTI)

    Lee, Samuel K.; Lisanti, Mariangela; Safdi, Benjamin R. E-mail: mlisanti@princeton.edu

    2013-11-01

    The count rate at dark-matter direct-detection experiments should modulate annually due to the motion of the Earth around the Sun. We show that higher-frequency modulations, including daily modulation, are also present and in some cases are nearly as strong as the annual modulation. These higher-order modes are particularly relevant if (i) the dark matter is light, O(10) GeV, (ii) the scattering is inelastic, or (iii) velocity substructure is present; for these cases, the higher-frequency modes are potentially observable at current and ton-scale detectors. We derive simple expressions for the harmonic modes as functions of the astrophysical and geophysical parameters describing the Earth's orbit, using an updated expression for the Earth's velocity that corrects a common error in the literature. For an isotropic halo velocity distribution, certain ratios of the modes are approximately constant as a function of nuclear recoil energy. Anisotropic distributions can also leave observable features in the harmonic spectrum. Consequently, the higher-order harmonic modes are a powerful tool for identifying a potential signal from interactions with the Galactic dark-matter halo.

  9. CIVIL ENGINEERING AY12 ANNUAL REPORT ANNUAL REPORT

    E-Print Network [OSTI]

    Maxwell, Bruce D.

    CIVIL ENGINEERING AY12 ANNUAL REPORT 201112 ANNUAL REPORT CIVIL ENGINEERING Montana State University Bozeman Bozeman, MT 59717 Brett Gunnink Department Head Offering: Bachelor of Science in Civil Engineering Bachelor

  10. Annual Report GreenTouch 20102011 Annual Report

    E-Print Network [OSTI]

    Lefèvre, Laurent

    2010­2011 Annual Report #12;1 GreenTouch 2010­2011 Annual Report Contents Chairman's Letter............................................................ 30 Service Energy Aware Sustainable Optical Networks (SEASON............................................................................................ 43 Beyond Cellular Green Generation (BCG2

  11. Effects of the chemomechanical stepping cycle on the traffic of molecular motors

    E-Print Network [OSTI]

    Stefan Klumpp; Yan Chai; Reinhard Lipowsky

    2008-10-09

    We discuss effects of the stepping kinetics of molecular motors on their traffic behavior on crowded filaments using a simple two-state chemomechanical cycle. While the general traffic behavior is quite robust with respect to the detailed kinetics of the step, a few observable parameters exhibit a strong dependence on these parameters. Most strikingly, the effective unbinding rate of the motors may both increase and decrease with increasing traffic density, depending on the details of the motor step. Likewise the run length either exhibits a strong decrease or almost no dependence on the traffic density. We compare our theoretical results with recent experimental observations on motor traffic.

  12. Postdoctoral Research Awards Annual Research Meeting: Joseph...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Joseph Mondloch Postdoctoral Research Awards Annual Research Meeting: Joseph Mondloch Postdoctoral Research Awards Annual Research Meeting: Joseph Mondloch poster presentation....

  13. Daily temperature and precipitation data for 223 USSR Stations

    SciTech Connect (OSTI)

    Razuvaev, V.N.; Apasova, E.G.; Martuganov, R.A.; Vose, R.S.; Steurer, P.M.

    1993-11-01

    On- May 23, 1972, the United States and the USSR established a bilateral initiative known as the Agreement on Protection of the Environment. Given recent interest in possible greenhouse gas-induced climate change, Working Group VIII (Influence of Environmental Changes on Climate) has become particularly useful to the scientific communities of both nations. Among its many achievements, Working Group VIII has been instrumental in the exchange of climatological information between the principal climate data centers of each country [i.e., the National Climatic Data Center (NCDC) in Asheville, North Carolina, and the Research Institute of Hydrometeorological Information in Obninsk, Russia]. Considering the relative lack of climate records previously available for the USSR, data obtained via this bilateral exchange are particularly valuable to researchers outside the former Soviet Union. To expedite the dissemination of these data, NOAA`s Climate and Global Change Program funded the Carbon Dioxide Information Analysis Center (CDIAC) and NCDC to distribute one of the more useful archives acquired through this exchange: a 223-station daily data set covering the period 1881-1989. This data set contains: (1) daily mean, minimum, and maximum temperature data; (2) daily precipitation data; (3) station inventory information (WMO No., name, coordinates, and elevation); (4) station history information (station relocation and rain gauge replacement dates); and (5) quality assurance information (i.e., flag codes that were assigned as a result of various data checks). The data set is available, free of charge, as a Numeric Data Package (NDP) from CDIAC. The NDP consists of 18 data files and a printed document which describes both the data files and the 223-station network in detail.

  14. Adapt-Traf: An adaptive multiagent road traffic management system based on hybrid ant-hierarchical fuzzy model

    E-Print Network [OSTI]

    Casillas Barranquero, Jorge

    of the energy consumption, and others. Road traffic management consists on improving the traffic fluency on roadAdapt-Traf: An adaptive multiagent road traffic management system based on hybrid ant systems Ant colony Hierarchical fuzzy system Traffic simulation a b s t r a c t Usually, road networks

  15. Bacteria Total Maximum Daily Load Task Force Final Report 

    E-Print Network [OSTI]

    Jones, C. Allan; Wagner, Kevin; Di Giovanni, George; Hauck, Larry; Mott, Joanna; Rifai, Hanadi; Srinivasan, Raghavan; Ward, George; Wythe, Kathy

    2009-01-01

    stream_source_info TR-341 Bacteria TMDL Task Force Report Draft Four 6.4.07.pdf.txt stream_content_type text/plain stream_size 344770 Content-Encoding ISO-8859-1 stream_name TR-341 Bacteria TMDL Task Force Report Draft Four 6....4.07.pdf.txt Content-Type text/plain; charset=ISO-8859-1 TR-341 2009 Bacteria Total Maximum Daily Load Task Force Final Report By C. Allan Jones and Kevin Wagner, Texas Water Resources...

  16. International energy annual 1996

    SciTech Connect (OSTI)

    1998-02-01

    The International Energy Annual presents an overview of key international energy trends for production, consumption, imports, and exports of primary energy commodities in over 220 countries, dependencies, and areas of special sovereignty. Also included are population and gross domestic product data, as well as prices for crude oil and petroleum products in selected countries. Renewable energy reported in the International Energy Annual includes hydroelectric power, geothermal, solar, and wind electric power, biofuels energy for the US, and biofuels electric power for Brazil. New in the 1996 edition are estimates of carbon dioxide emissions from the consumption of petroleum and coal, and the consumption and flaring of natural gas. 72 tabs.

  17. Natural gas annual 1997

    SciTech Connect (OSTI)

    1998-10-01

    The Natural Gas Annual provides information on the supply and disposition of natural gas to a wide audience including industry, consumers, Federal and State agencies, and educational institutions. The 1997 data are presented in a sequence that follows natural gas (including supplemental supplies) from its production to its end use. This is followed by tables summarizing natural gas supply and disposition from 1993 to 1997 for each Census Division and each State. Annual historical data are shown at the national level. 27 figs., 109 tabs.

  18. Annual Site Environmental Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O D S TAPropaneandAn319 125Annual Reports Annual2014

  19. Annual Report 2008.doc

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News Publications TraditionalWith PropaneNaturalTestAnAlexAnnualSRS Cold War FY08 Annual

  20. Annual Reports - Hanford Site

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News Publications TraditionalWith PropaneNaturalTestAnAlexAnnualSRS Cold War FY08Annual

  1. Annual Site Environmental Report

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l De p u t yWaste |4 2014 Annual Planning Summary for the2011Annual

  2. 2010 Quality Council Annual Report

    Broader source: Energy.gov [DOE]

    DEPARTMENT OF ENERGY QUALITY COUNCIL ANNUAL REPORT For Calendar Year 2010 Office of Health Safety and Security

  3. Data Management Group Annual Report

    E-Print Network [OSTI]

    Toronto, University of

    Data Management Group Annual Report 1997 #12;Data Management Group Annual Report 1997 A co-operative project that is jointly funded by members of the Toronto Area Transportation Planning Data Collection: (416) 978-3941 #12;Data Management Group 1997 Annual Report Table of Contents 1 INTRODUCTION

  4. Regional Monitoring Program Annual Meeting October 14, 2014

    E-Print Network [OSTI]

    and quantity benefits · Air quality/greenhouse gas reduction · Heat island mitigation · Traffic calming/greenhouse gas reduction · Heat island mitigation · Traffic calming · Increase property values · Improve bike

  5. International Energy Annual, 1992

    SciTech Connect (OSTI)

    Not Available

    1994-01-14

    This report is prepared annually and presents the latest information and trends on world energy production and consumption for petroleum, natural gas, coal, and electricity. Trade and reserves are shown for petroleum, natural gas, and coal. Prices are included for selected petroleum products. Production and consumption data are reported in standard units as well as British thermal units (Btu) and joules.

  6. TOTAL ANNUAL Rent / Mortgage $

    E-Print Network [OSTI]

    Snider, Barry B.

    etc.) $ Child Care Expenses $ Educational Loans taken out in parent's name $ Other (itemize below): $ $ RESOURCES TOTAL ANNUAL AMOUNT Parent 1 Wages $ Parent 2 Wages $ Interest and/or Dividend Income $ Net Income $ Contributions to tax deferred plans(401K) $ Non Educational Veterans' Benefits $ Unemployment Compensation

  7. Annual Fire Safety Report

    E-Print Network [OSTI]

    Al Faruque, Mohammad Abdullah

    1 2014 Annual Fire Safety Report University of California Campus Fire Marshals HIGHER EDUCATION to the Fire Safety in Student Housing Buildings of current or perspective students and employees be reported INTRODUCTION Fire Safety is an essential tool in protecting a campus community from injuries, deaths, business

  8. Annual Fire Safety Report

    E-Print Network [OSTI]

    2014 Annual Fire Safety Report University of California, Santa Barbara Fire Marshals) requires that certain information pertaining to the Fire Safety in Student Housing Buildings of current. #12; 2 9/19/14 HIGHER EDUCATION OPPORTUNITY ACT INTRODUCTION Fire Safety is an essential tool

  9. Annual Report and Accounts

    E-Print Network [OSTI]

    ;#12;Forest Research Annual Report and Accounts 2010­2011 Presented to the House of Commons pursuant to Section 7 of The Government Resources and Accounts Act 2000 Ordered by the House of Commons to be printed ...................................................... 12 Centre for Human and Ecological Sciences

  10. International Exeter annual report

    E-Print Network [OSTI]

    Wirosoetisno, Djoko

    to invest in international engagement are having an impact. As we enter the last year of our current Ambassador Diego Gomez-Pickering, the Ambassador of Mexico to the UK, Exeter, September 2014 #12;annual-fee level of 54% in Life and Environmental Sciences; 35% for Humanities; 26% for Social Sciences

  11. Forest Research Annual Report

    E-Print Network [OSTI]

    Forest Research Annual Report and Accounts 2000-2001 An agency of the Forestry Commission #12-SMITH Chief Research Officer Forest Research Members DR A.R. GRIFFIN Renewable Resources Division Shell Research Organisation Spring 2001 Advisory Committee on Forest Research Chief Executive Chief Research

  12. BALTIMORE'S ANNUAL HEALTHY HARBOR

    E-Print Network [OSTI]

    Hilderbrand, Robert H.

    1 BALTIMORE'S ANNUAL 2014 HEALTHY HARBOR REPORT CARD "If I see someone litter I'll ask, `please interceptor located at the end of the Jones Falls in Baltimore's Inner Harbor. The students, members, Baltimore's streams, rivers and Harbor scored between 52% and 61%. While these scores are poor and nearly

  13. NERSC Annual Report 2005

    SciTech Connect (OSTI)

    Hules (Ed.), John

    2006-07-31

    The National Energy Research Scientific Computing Center (NERSC) is the premier computational resource for scientific research funded by the DOE Office of Science. The Annual Report includes summaries of recent significant and representative computational science projects conducted on NERSC systems as well as information about NERSC's current and planned systems and services.

  14. PRI Annual Report 2004

    E-Print Network [OSTI]

    Maynard-Moody, Steven

    2005-04-01

    , and stress. A large section of the survey included PRI 2004 ANNUAL REPORT 8 questions drawn from a variety of different psychological instruments that measure core... years, we have provided financial and institutional support for 8 new faculty hires and 14 junior faculty representing 9 university departments. Assisted the university with faculty retention. PRI works to retain research-active social scientists...

  15. 2016 Annual Merit Review

    Broader source: Energy.gov [DOE]

    At the Annual Merit Review and Peer Evaluation, project investigators present information on their efforts that have been financially supported by the Vehicle Technologies Office in the last year. Expert reviewers then evaluate these projects based on how much they contribute to or advance the Energy Department’s missions and goals.

  16. University Library Annual Report

    E-Print Network [OSTI]

    Brierley, Andrew

    and a recognition of the need to provide zones within the building for different types of library user behaviourUniversity Library Annual Report 2011-2012 #12;Academic Year 2011-12 brought with it another period of turbulent change ­ most of it positive ­ for the University Library. The major and very tangible difference

  17. 2014 Annual AFN Convention

    Office of Energy Efficiency and Renewable Energy (EERE)

    The AFN Convention is the largest representative annual gathering in the United States of any Native peoples. In addition to the memorable keynote speeches, the expert panels and special reports, the Convention features several evenings of cultural performances known as Quyana Alaska.

  18. A comparison of thick film and thin film traffic stripes 

    E-Print Network [OSTI]

    Keese, Charles J

    1952-01-01

    of this thesis. CONTESTS Introduction ~ ~ ~ ~ ~ 1 Scope and Obfectives Method of Conducting Road Service Tests ~ ~ ~ ~ ~ ~ ~ ~ 7 ~ ~ ~ ~ ~ ~ ~ ~ ~ 8 PART I A Comparison of Paint Films of Various Thicknesses . . . . . . . . ~ ~, ~, ~ 72 App1ioation... of Test Stripes . Results of Thiokness Tests . 13 19 Conclusions 2$ PART II A Comparison of Various Thick Film and Thin Film Traffic Stripes. 26 Paint Stripes Over Adhesive Films Rosin Striping Compounds. . . + ~ . , ~ 29 ~ ~ ~ Preforsmd Plastic...

  19. Climbing and the daily energy cost of locomotion in wild chimpanzees: implications for hominoid locomotor evolution

    E-Print Network [OSTI]

    Pontzer, Herman

    in a population of wild chimpanzees and used published equations to calculate the relative daily energy costsClimbing and the daily energy cost of locomotion in wild chimpanzees: implications for hominoid, specifically whether arboreal adaptations serve to minimize daily locomotor energy costs by decreasing

  20. APPENDIX III III.1 Precipitation Daily Totals Preceding Precipitation Events-----------------------------------------III-2

    E-Print Network [OSTI]

    Julien, Pierre Y.

    APPENDIX III III.1 Precipitation Daily Totals Preceding Precipitation Events-----------------------------------------III-2 Figure III.1.1 Precipitation daily totals preceding the a) calibration and b) and c) validationPRECIPITATION DAILY TOTALS PRECEDING PRECIPITATION EVENTS 0 0.5 1 1.5 2 2.5 3 9/19/819/21/819/23/819/25/819/27

  1. The RTMS (Remote Traffic Microwave Sensor) unit is a traffic sensor which uses microwave signals to detect vehicles. Unlike sensors which use the Doppler effect, this sensor

    E-Print Network [OSTI]

    Prevedouros, Panos D.

    1 RTMS The RTMS (Remote Traffic Microwave Sensor) unit is a traffic sensor which uses microwave counter unit. Additional items for deployment include solar panel, batteries and modem with cellular dimly. The LED is bright only when data is being downloaded from it. Solar Panel The solar panel

  2. Communication delay in hypercubic networks with LRD traffic

    E-Print Network [OSTI]

    Min, G.; Ould-Khaoua, M.

    Min,G. Ould-Khaoua,M. Awan,I.U. Kouvatsos,D.D. Proc. 19th Annual ACM Symposium on Applied Computing (ACM SAC'04), Nicosia, Cyprus, March 14 -17, 2004. pp 347-351 ACM Press

  3. Feeding Activity, Rate of Consumption, Daily Ration and Prey Selection of Major Predators in John Day Reservoir, 1984 : Annual Report.

    SciTech Connect (OSTI)

    Gray, Gerard A.; United States. Bonneville Power Administration; U.S. Fish and Wildlife Service; National Fishery Research Center (U.S.)

    1986-07-01

    The extent of predation on juvenile salmonids in John Day Reservoir was determined. Salmonids were the single most important food item by weight for northern squawfish (Ptychocheilus oregonensis) in the restricted zones at McNary tailrace and John Day forebay during all sampling periods. Salmonids accounted for 18.1% of the weight in the diet of walleyes (Stizostedion vitreum vitreum) in 1984 which was at least twice that found in previous years. In smallmouth bass (Micropterus dolomieui) salmonids contributed little to their diet whereas for channel catfish (Ictalurus punctatus) fish accounted for 64.1% of the weight in their diet with salmonids responsible for approximately half of this weight. An intensive search of the fisheries literature was conducted to review various fish capture and control techniques which might have potential as predation control measures for the major predators of juvenile salmonids in the Columbia River system. Most prey protection measures were judged to have high potential and direct predator control measures were judged to have moderate or low potential.

  4. Petroleum marketing annual 1994

    SciTech Connect (OSTI)

    1995-08-24

    The Petroleum Marketing Annual (PMA) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysis, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the fob and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data in the Petroleum Marketing Annual. For this production, all estimates have been recalculated since their earlier publication in the Petroleum Marketing Monthly (PMM). These calculations made use of additional data and corrections that were received after the PMM publication date.

  5. Renewable energy annual 1995

    SciTech Connect (OSTI)

    1995-12-01

    The Renewable Energy Annual 1995 is the first in an expected series of annual reports the Energy Information Administration (EIA) intends to publish to provide a comprehensive assessment of renewable energy. This report presents the following information on the history, status, and prospects of renewable energy data: estimates of renewable resources; characterizations of renewable energy technologies; descriptions of industry infrastructures for individual technologies; evaluations of current market status; and assessments of near-term prospects for market growth. An international section is included, as well as two feature articles that discuss issues of importance for renewable energy as a whole. The report also contains a number of technical appendices and a glossary. The renewable energy sources included are biomass (wood), municipal solid waste, biomass-derived liquid fuels, geothermal, wind, and solar and photovoltaic.

  6. International energy annual 1997

    SciTech Connect (OSTI)

    1999-04-01

    The International Energy Annual presents an overview of key international energy trends for production, consumption, imports, and exports of primary energy commodities in over 220 countries, dependencies, and areas of special sovereignty. Also included are population and gross domestic product data, as well as prices for crude oil and petroleum products in selected countries. Renewable energy reported in the International Energy Annual includes hydroelectric power and geothermal, solar, and wind electric power. Also included are biomass electric power for Brazil and the US, and biomass, geothermal, and solar energy produced in the US and not used for electricity generation. This report is published to keep the public and other interested parties fully informed of primary energy supplies on a global basis. The data presented have been largely derived from published sources. The data have been converted to units of measurement and thermal values (Appendices E and F) familiar to the American public. 93 tabs.

  7. Annual Energy Review 2011

    SciTech Connect (OSTI)

    Fichman, Barbara T.

    2012-09-01

    The Annual Energy Review (AER) is the U.S. Energy Information Administration's (EIA) primary report of annual historical energy statistics. For many series, data begin with the year 1949. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, and renewable energy; financial and environment indicators; and data unit conversions. Publication of this report is required under Public Law 95–91 (Department of Energy Organization Act), Section 205(c), and is in keeping with responsibilities given to the EIA under Section 205(a)(2), which states: “The Administrator shall be responsible for carrying out a central, comprehensive, and unified energy data and information program which will collect, evaluate, assemble, analyze, and disseminate data and information....” The AER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding the content of the AER and other EIA publications.

  8. Annual Energy Review 2007

    SciTech Connect (OSTI)

    Seiferlein, Katherine E.

    2008-06-01

    The Annual Energy Review (AER) is the Energy Information Administration's (EIA) primary report of annual historical energy statistics. For many series, data begin with the year 1949. Included are data on total energy production, consumption, and trade; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, international energy, as well as financial and environment indicators; and data unit conversion tables. Publication of this report is required under Public Law 95–91 (Department of Energy Organization Act), Section 205(c), and is in keeping with responsibilities given to the EIA under Section 205(a)(2), which states: “The Administrator shall be responsible for carrying out a central, comprehensive, and unified energy data and information program which will collect, evaluate, assemble, analyze, and disseminate data and information....”

  9. Coal industry annual 1997

    SciTech Connect (OSTI)

    1998-12-01

    Coal Industry Annual 1997 provides comprehensive information about US coal production, number of mines, prices, productivity, employment, productive capacity, and recoverable reserves. US Coal production for 1997 and previous years is based on the annual survey EIA-7A, Coal Production Report. This report presents data on coal consumption, coal distribution, coal stocks, coal prices, and coal quality for Congress, Federal and State agencies, the coal industry, and the general public. Appendix A contains a compilation of coal statistics for the major coal-producing States. This report includes a national total coal consumption for nonutility power producers that are not in the manufacturing, agriculture, mining, construction, or commercial sectors. 14 figs., 145 tabs.

  10. 2008 annual merit review

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    The 2008 DOE Vehicle Technologies Program Annual Merit Review was held February 25-28, 2008 in Bethesda, Maryland. The review encompassed all of the work done by the Vehicle Technologies Program: a total of 280 individual activities were reviewed, by a total of just over 100 reviewers. A total of 1,908 individual review responses were received for the technical reviews, and an additional 29 individual review responses were received for the plenary session review.

  11. NERSC 2001 Annual Report

    SciTech Connect (OSTI)

    Hules, John

    2001-12-12

    The National Energy Research Scientific Computing Center (NERSC) is the primary computational resource for scientific research funded by the DOE Office of Science. The Annual Report for FY2001 includes a summary of recent computational science conducted on NERSC systems (with abstracts of significant and representative projects); information about NERSC's current systems and services; descriptions of Berkeley Lab's current research and development projects in applied mathematics, computer science, and computational science; and a brief summary of NERSC's Strategic Plan for 2002-2005.

  12. NERSC 1998 annual report

    SciTech Connect (OSTI)

    Hules, John (ed.)

    1999-03-01

    This 1998 annual report from the National Scientific Energy Research Computing Center (NERSC) presents the year in review of the following categories: Computational Science; Computer Science and Applied Mathematics; and Systems and Services. Also presented are science highlights in the following categories: Basic Energy Sciences; Biological and Environmental Research; Fusion Energy Sciences; High Energy and Nuclear Physics; and Advanced Scientific Computing Research and Other Projects.

  13. Standard Scenarios Annual Report

    Broader source: Energy.gov [DOE]

    The National Renewable Energy Laboratory is conducting a study sponsored by the U.S. Department of Energy DOE, Office of Energy Efficiency and Renewable Energy (EERE), that aims to document and implement an annual process designed to identify a realistic and timely set of input assumptions (e.g., technology cost and performance, fuel costs), and a diverse set of potential futures (standard scenarios), initially for electric sector analysis.

  14. Pricing Our Way Out of Traffic Congestion: parking cash out and HOT lanes

    E-Print Network [OSTI]

    Shoup, Donald C.; Brown, Jeffrey

    2001-01-01

    Opportunity to Reduce Minimum Parking Requirements," JournalOpportunity to Reduce Minimum Parking Requirements," Journalof Traffic Congestion: Parking Cash Out and HOTLanes Donald

  15. Identifying Traffic-Related Air Pollution Hotspots in the Built Environment

    E-Print Network [OSTI]

    Wu, Lisa

    2014-01-01

    for imporvemetns in air pollution models. Atmospheric2010). Traffic-related air pollution: A critical review offor vehicle-related air pollution exposure in minority and

  16. An Adaptive Dissemination Mechanism for Inter-Vehicle Communication-Based Decentralized Traffic Information Systems

    E-Print Network [OSTI]

    Barth, M; Xu, H

    2006-01-01

    area, or wireline communication systems. For example, fixedInformation Systems Based on Inter-Vehicle Communications”,Communication-Based Decentralized Traffic Information Systems

  17. A decision process framework: selecting strategies for rehabilitation of rigid pavements subjected to high traffic volumes 

    E-Print Network [OSTI]

    Valls, Marc Edouard Josep

    2000-01-01

    Concrete pavements, underdesigned for today's levels of traffic, are deteriorating rapidly. Maintenance, rehabilitation, and reconstruction activities (MRR) have become more widespread and costly. State highway agencies ...

  18. Trade-offs and Issues in Traffic Synchronization Claus Gwiggner, Masato Fujita,

    E-Print Network [OSTI]

    Gwiggner, Claus Peter

    The International Civil Aviation Organization (ICAO) pro- poses several components of a modern ATM system is called `Traffic Synchronization'. It is described as the `tactical establishment and maintenance

  19. The Dynamics of Internet Traffic: Self-Similarity, Self-Organization, and Complex Phenomena

    E-Print Network [OSTI]

    Reginald D. Smith

    2010-09-05

    The Internet is the most complex system ever created in human history. Therefore, its dynamics and traffic unsurprisingly take on a rich variety of complex dynamics, self-organization, and other phenomena that have been researched for years. This paper is a review of the complex dynamics of Internet traffic. Departing from normal treatises, we will take a view from both the network engineering and physics perspectives showing the strengths and weaknesses as well as insights of both. In addition, many less covered phenomena such as traffic oscillations, large-scale effects of worm traffic, and comparisons of the Internet and biological models will be covered.

  20. Assessment of MeMS Sensors in an Urban Traffic Environment

    E-Print Network [OSTI]

    Varaiya, Pravin

    2004-01-01

    BERKELEY Assessment of MeMS Sensors in an Urban Traf?cAND HIGHWAYS Assessment of MeMS Sensors in an Urban Traffic

  1. Best Practices for Rural Traffic Safety Georgia's Experience in Increasing Rural Safety Belt Use Rates

    E-Print Network [OSTI]

    Minnesota, University of

    Best Practices for Rural Traffic Safety Georgia's Experience in Increasing Rural Safety Belt Use Enforcement Efforts ­ Checkpoints ­ Messages regarding Seat Belts ­ Messages regarding Rural SB Use

  2. Fiscal Year 2004 Annual Report

    E-Print Network [OSTI]

    Salvaggio, Carl

    NTID Fiscal Year 2004 Annual Report (Click here to jump to the Table of Contents) #12;#12;-1- FY ................... 17 Assessment Information on Entering Class

  3. Faculty Annual Review Academic Affairs

    E-Print Network [OSTI]

    Jones, Michelle

    .........................................................................................................................................3 2.0 Annual review of probationary faculty (except Fourth-Year Review)..............................................................3 2.1 Fourth-Year Review of probationary faculty

  4. School of Engineering Annual Report

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Activities............................. Civil & Environmental Engineering.......... PROGRAMS Engineering Diversity Program....................................... Environmental EngineeringSchool of Engineering 1 9 9 9 Annual Report #12;University of ConnecticutUniversity of Connecticut

  5. Tanana Chiefs Conference Annual Convention

    Broader source: Energy.gov [DOE]

    The Tanana Chiefs Conference is holding its annual convention to discuss issues in the region, hold elections, and adopt resolutions presented by Tribes.

  6. Acquisition and registration of aerial video imagery of urban traffic

    SciTech Connect (OSTI)

    Loveland, Rohan C

    2008-01-01

    The amount of information available about urban traffic from aerial video imagery is extremely high. Here we discuss the collection of such video imagery from a helicopter platform with a low-cost sensor, and the post-processing used to correct radial distortion in the data and register it. The radial distortion correction is accomplished using a Harris model. The registration is implemented in a two-step process, using a globally applied polyprojective correction model followed by a fine scale local displacement field adjustment. The resulting cleaned-up data is sufficiently well-registered to allow subsequent straight-forward vehicle tracking.

  7. EECBG Success Story: Getting Traffic Lights Talking to Improve Topeka's

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based|Department of EnergyDepartment of Energy FindingTraffic Tunnel |

  8. The Western Water Assessment Annual RISA Report

    E-Print Network [OSTI]

    Neff, Jason

    ;Western Water Assessment 2007 Annual Report 2 Table of Contents I. Areas of FocusThe Western Water Assessment Annual RISA Report Reporting Period: January 2007-December 2007 #12-30 #12;Western Water Assessment 2007 Annual Report 3

  9. Fourth Annual Western Evolutionary Biology Meeting

    E-Print Network [OSTI]

    Rose, Michael R.

    Fourth Annual Western Evolutionary Biology Meeting University of California Presentation of the fourth annual Western Evolutionary Biologist of the Year (WEBEY) Award. 5:00 PM Fourth Annual WEBEY Address, Maureen Stanton, UC Davis 6:00 PM

  10. 2007 TEPP Annual Report

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About Us ShirleyU.S. DRIVE VehicleNewWidderRulemakings -998U.S.06 Draft2007 Annual

  11. Annual Energy Review 2001

    SciTech Connect (OSTI)

    Seiferlein, Katherine E.

    2002-11-01

    The Annual Energy Review (AER) is a statistical history of energy activities in the United States. It documents trends and milestones in U.S. energy production, trade, storage, pricing, and consumption. Each new year of data that is added to the time series—which now reach into 7 decades—extends the story of how Americans have acquired and used energy. It is a story of continual change as the Nation's economy grew, energy requirements expanded, resource availability shifted, and interdependencies developed among nations.

  12. International energy annual 1995

    SciTech Connect (OSTI)

    1996-12-01

    The International Energy Annual presents information and trends on world energy production and consumption for petroleum, natural gas, coal, and electricity. Production and consumption data are reported in standard units as well as British thermal units (Btu). Trade and reserves are shown for petroleum, natural gas, and coal. Data are provided on crude oil refining capacity and electricity installed capacity by type. Prices are included for selected crude oils and for refined petroleum products in selected countries. Population and Gross Domestic Product data are also provided.

  13. Renewable energy annual 1996

    SciTech Connect (OSTI)

    1997-03-01

    This report presents summary data on renewable energy consumption, the status of each of the primary renewable technologies, a profile of each of the associated industries, an analysis of topical issues related to renewable energy, and information on renewable energy projects worldwide. It is the second in a series of annual reports on renewable energy. The renewable energy resources included in the report are biomass (wood and ethanol); municipal solid waste, including waste-to-energy and landfill gas; geothermal; wind; and solar energy, including solar thermal and photovoltaic. The report also includes various appendices and a glossary.

  14. Annual Energy Review 2010

    SciTech Connect (OSTI)

    2011-10-01

    This twenty-ninth edition of the Annual Energy Review (AER) presents the U.S. Energy Information Administration’s (EIA) most comprehensive look at integrated energy statistics. The summary statistics on the Nation’s energy production, consumption, trade, stocks, and prices cover all major energy commodities and all energy-consuming sectors of the U.S. economy from 1949 through 2010. The AER is EIA’s historical record of energy statistics and, because the coverage spans six decades, the statistics in this report are well-suited to long-term trend analysis.

  15. Annual Environmental Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News Publications TraditionalWith PropaneNaturalTestAnAlexAnnual Coal14, 20143Total

  16. NERSC Annual Reports

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on77 PAGEMissionStressMoveMuncriefB O N N E V I L LNERSC Annual

  17. Historical Natural Gas Annual

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWellsMillion Cubic Feet) Havre, MTCitygateYearAnnual .

  18. Required Annual Notices

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 Winners *ReindustrializationEnergyWindNO. DE-SOL-0008418Annual Notices

  19. Annual Reports - SRSCRO

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory of raregovAboutRecovery ActTools to someone by AllocationAnnual Energyreports

  20. 2009 ISCMEM Annual Meeting

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l De p u t y A s s i s t a n t SClean-up ofFourth Annual

  1. Heavy traffic analysis for EDF queues with reneging

    E-Print Network [OSTI]

    Kruk, ?ukasz; Ramanan, Kavita; Shreve, Steven; 10.1214/10-AAP681

    2011-01-01

    This paper presents a heavy-traffic analysis of the behavior of a single-server queue under an Earliest-Deadline-First (EDF) scheduling policy in which customers have deadlines and are served only until their deadlines elapse. The performance of the system is measured by the fraction of reneged work (the residual work lost due to elapsed deadlines) which is shown to be minimized by the EDF policy. The evolution of the lead time distribution of customers in queue is described by a measure-valued process. The heavy traffic limit of this (properly scaled) process is shown to be a deterministic function of the limit of the scaled workload process which, in turn, is identified to be a doubly reflected Brownian motion. This paper complements previous work by Doytchinov, Lehoczky and Shreve on the EDF discipline in which customers are served to completion even after their deadlines elapse. The fraction of reneged work in a heavily loaded system and the fraction of late work in the corresponding system without renegi...

  2. Discrete Mathematical Approaches to Graph-Based Traffic Analysis

    SciTech Connect (OSTI)

    Joslyn, Cliff A.; Cowley, Wendy E.; Hogan, Emilie A.; Olsen, Bryan K.

    2014-04-01

    Modern cyber defense and anlaytics requires general, formal models of cyber systems. Multi-scale network models are prime candidates for such formalisms, using discrete mathematical methods based in hierarchically-structured directed multigraphs which also include rich sets of labels. An exemplar of an application of such an approach is traffic analysis, that is, observing and analyzing connections between clients, servers, hosts, and actors within IP networks, over time, to identify characteristic or suspicious patterns. Towards that end, NetFlow (or more generically, IPFLOW) data are available from routers and servers which summarize coherent groups of IP packets flowing through the network. In this paper, we consider traffic analysis of Netflow using both basic graph statistics and two new mathematical measures involving labeled degree distributions and time interval overlap measures. We do all of this over the VAST test data set of 96M synthetic Netflow graph edges, against which we can identify characteristic patterns of simulated ground-truth network attacks.

  3. Postdoctoral Research Awards Annual Research Meeting: Brandon...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Brandon Mercado Postdoctoral Research Awards Annual Research Meeting: Brandon Mercado Poster Presentation at 2012 EERE Annual Research Meeting, Postdoctoral Research Awards, from...

  4. Postdoctoral Research Awards Annual Research Meeting: Padmaja...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Padmaja Gunda Postdoctoral Research Awards Annual Research Meeting: Padmaja Gunda Poster Presentation at 2012 EERE Annual Research Meeting, Postdoctoral Research Awards, from the...

  5. Southeastern Power Administration 2012 Annual Report | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Southeastern Power Administration 2012 Annual Report Southeastern Power Administration 2012 Annual Report This report reflects our agency's programs,accomplishments, operational,...

  6. McGinness Hills Well 27A-10 Daily Drilling Report Data

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Knudsen, Steven

    2014-03-25

    This data should be used with the daily drilling record and other data which can be obtained from the contact listed below

  7. McGinness Hills Well 27A-10 Daily Drilling Report Data

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Knudsen, Steven

    This data should be used with the daily drilling record and other data which can be obtained from the contact listed below

  8. Stress begets stress: Three studies of the daily behavioral and affective mechanisms of spillover

    E-Print Network [OSTI]

    Sears, Meredith

    2015-01-01

    Understanding marriage and stress: Essential questions andlongitudinal examination of stress generation in depressive2009). Assessing daily stress processes in social surveys by

  9. Relationship Between Daily Exposure to Biomass Fuel Smoke and Blood Pressure in High-Altitude Peru

    E-Print Network [OSTI]

    2015-01-01

    Between Daily Exposure to Biomass Fuel Smoke and BloodHousehold air pollution from biomass fuel use affects 3relationship between biomass fuel use and blood pressure. We

  10. Part Two ATM Traffic Management and Control A Comparative Performance Analysis of Call Admission Control

    E-Print Network [OSTI]

    Elsayed, Khaled Fouad

    -mail: hp@eos.ncsu.edu Key words: Call Admission Control, Traffic Management, ATM Networks, Quality (which is typically a workstation attached to the switch). The resource manager controls the operations113 Chapter 5 Part Two ATM Traffic Management and Control A Comparative Performance Analysis

  11. Greenhouse Gas Pollution in the Stratosphere Due to Increasing Airplane Traffic, Effects On the Environment

    E-Print Network [OSTI]

    Murty, Katta G.

    Greenhouse Gas Pollution in the Stratosphere Due to Increasing Airplane Traffic, Effects temperatures have increased much more than can be explained by changes in the concentration of greenhouse gases traffic round the clock and around the globe which is contributing to higher concentrations of greenhouse

  12. Nash Equilibria for a Model of Traffic Flow with Several Groups of Drivers

    E-Print Network [OSTI]

    Nash Equilibria for a Model of Traffic Flow with Several Groups of Drivers Alberto Bressan and Ke population sizes 1, . . . , n, we prove the existence of a Nash equilibrium solution, where no driver can, and a characterization of this Nash equilibrium solution, are also discussed. 1 Introduction Consider a model of traffic

  13. Bellini: Ferrying Application Traffic Flows through Geo-distributed Datacenters in the Cloud

    E-Print Network [OSTI]

    Li, Baochun

    Bellini: Ferrying Application Traffic Flows through Geo-distributed Datacenters in the Cloud Zimu. To take full advantage of superior connectivities between geo-distributed datacenters, application traffic, implementing and deploying such inter- datacenter protocols for various applications, such as messaging

  14. Postcard: Minimizing Costs on Inter-Datacenter Traffic with Store-and-Forward

    E-Print Network [OSTI]

    Li, Baochun

    Postcard: Minimizing Costs on Inter-Datacenter Traffic with Store-and-Forward Yuan Feng, Baochun Li--It is typical for cloud providers to operate a number of geographically distributed datacenters, where inter-datacenter such inter-datacenter traffic incurs substantial operational costs that are charged by ISPs, it varies

  15. CAR-FOLLOWING AND THE MACROSCOPIC AWRASCLE TRAFFIC FLOW MARTE GODVIK AND HARALD HANCHE-OLSEN

    E-Print Network [OSTI]

    CAR-FOLLOWING AND THE MACROSCOPIC AW­RASCLE TRAFFIC FLOW MODEL MARTE GODVIK AND HARALD HANCHE-OLSEN Abstract. We consider a semi-discrete car-following model and the macroscopic Aw­Rascle model for traffic flow given in Lagrangian form. The solution of the car-following model converges to a weak entropy

  16. On the Effects of Energy-Aware Traffic Engineering on Routing Reliability

    E-Print Network [OSTI]

    Chin, Kwan-Wu

    to maximally switch off redundant network resource at low traffic load to minimize energy usage. These routingOn the Effects of Energy-Aware Traffic Engineering on Routing Reliability Gongqi Lin, Sieteng Soh.lin@postgrad.curtin.edu.au Kwan-Wu Chin School of Electrical, Computer and Telecommunications Engineering University of Wollongong

  17. Roadmap: Aeronautics-Air Traffic Control -Bachelor of Science [AT-BS-AERN-ATC

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Aeronautics- Air Traffic Control - Bachelor of Science [AT-BS-AERN-ATC] College of Applied This roadmap is a recommended semester-by-semester plan of study for this major. However, courses #12;Roadmap: Aeronautics- Air Traffic Control - Bachelor of Science [AT-BS-AERN-ATC] College

  18. Towards Efficient Traffic-analysis Resistant Anonymity Networks Stevens Le Blond1

    E-Print Network [OSTI]

    Druschel, Peter

    Mixminion batch messages to re- sist traffic-analysis at the expense of low latency. Onion routing schemes like Tor deliver low latency and high band- width, but are not designed to withstand traffic analysis complied with a US subpoena to trace one of its users [1]. Network anonymization services like Tor provide

  19. "Using very high-fidelity microscopic traffic simulation tools to model and

    E-Print Network [OSTI]

    Zhigilei, Leonid V.

    with the goal of improving transportation system mobility, achieving sustainable transportation, and enhancing and mobility at urban networks. Existing state-of-the-practice traffic signal timing-optimization programs rely traffic signal timing plans for sustainability (i.e., minimizing fuel consumption and emissions). ITS

  20. Rapid Traffic Information Dissemination Using Named Data Los Angeles, CA, USA

    E-Print Network [OSTI]

    California at Los Angeles, University of

    Rapid Traffic Information Dissemination Using Named Data Lucas Wang UCLA Los Angeles, CA, USA lucas@us.toyota-itc.com Lixia Zhang UCLA Los Angeles, CA, USA lixia@cs.ucla.edu ABSTRACT This paper applies the Named Data traffic information dissemination application based on the data naming design from our previ- ous work

  1. Review of Urban Bicyclists' Intake and Uptake of Traffic-Related Air Pollution

    E-Print Network [OSTI]

    Review of Urban Bicyclists' Intake and Uptake of Traffic-Related Air Pollution ALEXANDER Y. BIGAZZI- clists may experience increased inhalation of traffic-related air pollutants. Bicyclists have two to five times higher respiration rates than travelers in motorized vehicles and this difference increases

  2. Bigazzi, Figliozzi, and Clifton 1 Motorists' Exposure to Traffic-Related Air Pollution:1

    E-Print Network [OSTI]

    Bertini, Robert L.

    Bigazzi, Figliozzi, and Clifton 1 1 Motorists' Exposure to Traffic-Related Air Pollution:1 Modeling to traffic-related pollution. Large peak-period trip exposures are5 primarily the result of increased pollutants (3), which progressively degrade urban20 air quality (4). Because of coincident vehicle and human

  3. A non-continuum approach to obtain a macroscopic model for the flow of traffic 

    E-Print Network [OSTI]

    Tyagi, Vipin

    2007-09-17

    by continuum models for the flow of traffic. The number of vehicles in a typical section of a freeway does not justify traffic being treated as a continuum. It is also important to recognize that the basic premises of kinetic theory are not appropriate...

  4. Efficient Mining of the Multidimensional Traffic Cluster Hierarchy for Digesting, Visualization, and Anomaly Identification*

    E-Print Network [OSTI]

    Yener, Aylin

    1 Efficient Mining of the Multidimensional Traffic Cluster Hierarchy for Digesting, Visualization) 865-7065 Abstract Mining traffic traces to identify the dominant flows sent over a given link, over, and visualization of unexpected phenomena. Recently, Estan et al. advanced a comprehensive data mining structure

  5. Towards a Cost Model for Network Traffic Murtaza Motiwala , Amogh Dhamdhere , Nick Feamster , Anukool Lakhina

    E-Print Network [OSTI]

    California at San Diego, University of

    Towards a Cost Model for Network Traffic Murtaza Motiwala , Amogh Dhamdhere , Nick Feamster@gatech.edu, anukool.lakhina@guavus.com ABSTRACT We develop a holistic cost model that operators can use to help evaluate the costs of various routing and peering decisions. Using real traffic data from a large carrier

  6. The Case for Fine-Grained Traffic Engineering in Data Centers Theophilus Benson

    E-Print Network [OSTI]

    Akella, Aditya

    The Case for Fine-Grained Traffic Engineering in Data Centers Theophilus Benson , Ashok Anand years, several techniques have been suggested for routing and traffic engineering in data centers. How data center traf- fic patterns. Our preliminary study reveals that existing techniques can only achieve

  7. A First Look at Inter-Data Center Traffic Characteristics via Yahoo! Datasets

    E-Print Network [OSTI]

    Zhang, Zhi-Li

    A First Look at Inter-Data Center Traffic Characteristics via Yahoo! Datasets Yingying Chen1 2 Arizona State University Abstract--Effectively managing multiple data centers and their traffic the anonymized NetFlow datasets collected at the border routers of five major Yahoo! data centers. Our

  8. THE DYNAMICAL STRUCTURE FACTOR AND CRITICAL BEHAVIOR OF A TRAFFIC FLOW MODEL

    E-Print Network [OSTI]

    Lübeck, Sven

    261 THE DYNAMICAL STRUCTURE FACTOR AND CRITICAL BEHAVIOR OF A TRAFFIC FLOW MODEL L. ROTERS, S. L. The behavior of the model is determined by three parameters, the maximal velocity v max , the noise parameter P of the dynamical structure factor of the Nagel­ Schreckenberg traffic flow model based on the local occupation

  9. Low-Latency ECDSA Signature Verification A Road Towards Safer Traffic

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    caused by the rising traffic densities on our roads and in our cities. Traffic congestion is increasingly crippling efficient movement inside and towards cities resulting in mounting travel times, fuel consumption and consequent air pollution. In the past these problems have been addressed by expanding road infrastructure

  10. MONITORING TRAFFIC BY OPTICAL SENSORS Meffert, B., Blaschek, R, Knauer, U., Reulke,1

    E-Print Network [OSTI]

    Freytag, Johann-Christoph

    of traffic related air pollution. Keywords: traffic observation, sensor network, cameras, image processing INTRODUCTION Sustainable urban development requires a modern transportation management. Especially such mega-cities as Rio de Janeiro or Cairo have distinct transportation problems. Like many cities in the world

  11. Scheduling Automated Traffic on a Network of Arvind Giridhar and P.R. Kumar

    E-Print Network [OSTI]

    vehicles which are au- tomatically driven along smart highways and/or city roads [2], [3]. Such automation consider the problem of scheduling automated traffic in a city. Such automatic scheduling can improve algorithm and evaluate its performance through simulations. Index Terms: Traffic scheduling, smart vehicles

  12. Scheduling and Queue Management for Multi-class Traffic in Access Router of Mobility Protocol

    E-Print Network [OSTI]

    Atiquzzaman, Mohammed

    communicate with the Access Router (AR) through wireless channels for sending data packets and signalingScheduling and Queue Management for Multi-class Traffic in Access Router of Mobility Protocol Md communicating over Internet. Due to such high data traffic, the access routers are often overloaded with packets

  13. VIRTUAL REALITY DRIVING SIMULATION: Integrating Infrastructure Plans, Traffic Models, and Driving Behaviors

    E-Print Network [OSTI]

    to include 3D models, animated traffic and human characters, as well as functions that allow users to take-1- VIRTUAL REALITY DRIVING SIMULATION: Integrating Infrastructure Plans, Traffic Models@forum8.co.jp Summary: This paper presents a virtual reality (VR) system that enables large

  14. Marginal costs of freeway traffic congestion with on-road pollution exposure externality

    E-Print Network [OSTI]

    Bertini, Robert L.

    Marginal costs of freeway traffic congestion with on-road pollution exposure externality Alexander August 2012 Received in revised form 6 March 2013 Accepted 23 September 2013 Keywords: External costs Traffic congestion On-road In-vehicle Pollution exposure Vehicle emissions a b s t r a c t The health cost

  15. Internet traffic modeling by means of Hidden Markov Models q,qq Alberto Dainotti a

    E-Print Network [OSTI]

    Internet traffic modeling by means of Hidden Markov Models q,qq Alberto Dainotti a , Antonio 29, 81031 Aversa (CE), Italy a r t i c l e i n f o Article history: Received 1 March 2007 Received. Smirnow a b s t r a c t In this work, we propose a Hidden Markov Model for Internet traffic sources

  16. Using Traffic Flow for Cluster Formation in Vehicular Ad-hoc Networks

    E-Print Network [OSTI]

    Weigle, Michele

    Using Traffic Flow for Cluster Formation in Vehicular Ad-hoc Networks Mohammad S. Almalag of the traffic will flow. I. INTRODUCTION Vehicular Ad Hoc Networks (VANETs) are considered to be a class MANETs. Nodes in VANETs have more processing power and storage space and typically have no battery

  17. Real-Time Multi-Sensor Multi-Source Network Data Fusion Using Dynamic Traffic Assignment Models

    E-Print Network [OSTI]

    Ben-Akiva, Moshe E.

    This paper presents a model-based data fusion framework that allows systematic fusing of multi-sensor multi-source traffic network data at real-time. Using simulation-based Dynamic Traffic Assignment (DTA) models, the ...

  18. IEICE TRANS. COMMUN., VOL.E85A, NO.1 JANUARY 2002 Traffic Engineering with Constrained Multipath Routing in MPLS

    E-Print Network [OSTI]

    IEICE TRANS. COMMUN., VOL.E85­A, NO.1 JANUARY 2002 1 PAPER Traffic Engineering with Constrained in a network, or resource utilization, can be maximized if a traffic demand is split over multiple paths

  19. The effectiveness of jobs-housing balance as a strategy for reducing traffic congestion: a study of metropolitan Bangkok 

    E-Print Network [OSTI]

    Lobyaem, Sonchai

    2006-10-30

    Bangkok is widely known for its severe traffic congestion. The Thai government advocates the concept of jobs and housing balance (JHB) as a strategy for reducing traffic congestion in Metropolitan Bangkok. The basic idea is to decentralize the jobs...

  20. Pilot Perception and Use of ADS-B Traffic and Weather Services (TIS-B & FIS-B)

    E-Print Network [OSTI]

    Silva, Sathya

    2014-10-08

    Automatic Dependent Surveillance – Broadcast (ADS-B) is a central component of the NextGen air traffic control modernization program. It is intended to improve traffic surveillance capabilities by sharing accurate aircraft ...

  1. ANNUAL FIRE SAFETY RESIDENCE HALLS

    E-Print Network [OSTI]

    Fernandez, Eduardo

    1 2013 ANNUAL FIRE SAFETY REPORT FOR RESIDENCE HALLS As Required by the Higher Education Opportunity Act (HEOA) #12;2 INTRODUCTION Contents of this annual fire safety report reflect the requirements outlined in the HEOA, which are included in Florida Atlantic University's (FAU) campus fire safety program

  2. Annual Energy Outlook Retrospective Review

    Reports and Publications (EIA)

    2015-01-01

    The Annual Energy Outlook Retrospective Review provides a yearly comparison between realized energy outcomes and the Reference case projections included in previous Annual Energy Outlooks (AEO) beginning with 1982. This edition of the report adds the AEO 2012 projections and updates the historical data to incorporate the latest data revisions.

  3. ANNUAL REPORT 1998 PHOTOVOLTAICS GROUP

    E-Print Network [OSTI]

    New South Wales, University of

    ANNUAL REPORT 1998 UNSW PHOTOVOLTAICS GROUP ANNUAL REPORT 1998 UNSW PHOTOVOLTAICS GROUP #12;THE UNIVERSITY OF NEW SOUTH WALES THE PHOTOVOLTAICS SPECIAL RESEARCH CENTRE IS A SPECIAL RESEARCH CENTRE OF THE AUSTRALIAN RESEARCH COUNCIL THE KEY CENTRE FOR PHOTOVOLTAIC ENGINEERING IS A KEY CENTRE OF THE AUSTRALIAN

  4. Engineering Faculty's Annual Report 2010

    E-Print Network [OSTI]

    Toronto, University of

    Engineering Faculty's Annual Report 2010: Performance Indicators #12;ii | Table of Contents | Annual Report 2010 | Faculty of Applied Science & Engineering Table of Contents Introduction 2 ­ Message from the Dean ­ 2009­2010 Faculty Leadership ­ Comparison of U of T Engineering with Ontario and Canada

  5. Eighth Annual Risk Management Conference

    E-Print Network [OSTI]

    Chaudhuri, Sanjay

    Eighth Annual Risk Management Conference Risk Management Amidst Global Rebalancing 10 ­ 11 July 2014, Singapore The Risk Management Institute (RMI) at the National University of Singapore invites submissions for its 8th annual conference on risk management in Singapore on 10 and 11 July 2014. We

  6. Data Management Group Annual Report

    E-Print Network [OSTI]

    Toronto, University of

    Data Management Group Annual Report 1999 prepared by: Data Management Group Joint Program APPENDIX A: DATA REQUESTS ..................................... 11 #12;Data Management Group 1999 Annual Report Page 1 of 14 INTRODUCTION The Data Management Group is a research project located at the Joint

  7. Annual Energy Review 2004

    SciTech Connect (OSTI)

    Seiferlein, Katherine E.

    2005-08-01

    The Annual Energy Review (AER) is the Energy Information Administration's (EIA) primary report of annual historical energy statistics. For many series, data begin with the year 1949. Included are data on total energy production, consumption, and trade; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, international energy, as well as financial and environment indicators; and data unit conversion tables. Publication of this report is required under Public Law 95–91 (Department of Energy Organization Act), Section 205(c), and is in keeping with responsibilities given to the EIA under Section 205(a)(2), which states: “The Administrator shall be responsible for carrying out a central, comprehensive, and unified energy data and information program which will collect, evaluate, assemble, analyze, and disseminate data and information....” The AER is intended for use by Members of Congress, Federal and State agencies energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series in the AER and in other EIA publications.

  8. Annual Energy Review 1993

    SciTech Connect (OSTI)

    Not Available

    1994-07-14

    This twelfth edition of the Annual Energy Review (AER) presents the Energy Information Administration`s historical energy statistics. For most series, statistics are given for every year from 1949 through 1993. Because coverage spans four and a half decades, the statistics in this report are well-suited to long-term trend analyses. The AER is comprehensive. It covers all major energy activities, including consumption, production, trade, stocks, and prices, for all major energy commodities, including fossil fuels and electricity. The AER also presents Energy Information Administration (EIA) statistics on some renewable energy sources. EIA estimates that its consumption series include about half of the renewable energy used in the United States. For a more complete discussion of EIA`s renewables data, see p. xix, ``Introducing Expanded Coverage of Renewable Energy Data Into the Historical Consumption Series.`` Copies of the 1993 edition of the Annual Energy Review may be obtained by using the order form in the back of this publication. Most of the data in the 1993 edition also are available on personal computer diskette. For more information about the diskettes, see the back of this publication. In addition, the data are available as part of the National Economic, Social, and Environmental Data Bank on a CD-ROM. For more information about the data bank, contact the US Department of Commerce Economics and Statistics Administration, on 202-482-1986.

  9. Annual Energy Review 2005

    SciTech Connect (OSTI)

    Seiferlein, Katherine E.

    2006-07-01

    The Annual Energy Review (AER) is the Energy Information Administration's (EIA) primary report of annual historical energy statistics. For many series, data begin with the year 1949. Included are data on total energy production, consumption, and trade; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, international energy, as well as financial and environment indicators; and data unit conversion tables. Publication of this report is required under Public Law 95–91 (Department of Energy Organization Act), Section 205(c), and is in keeping with responsibilities given to the EIA under Section 205(a)(2), which states: “The Administrator shall be responsible for carrying out a central, comprehensive, and unified energy data and information program which will collect, evaluate, assemble, analyze, and disseminate data and information....” The AER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series in the AER and in other EIA publications.

  10. Annual Energy Review 2006

    SciTech Connect (OSTI)

    Seiferlein, Katherine E.

    2007-06-01

    The Annual Energy Review (AER) is the Energy Information Administration's (EIA) primary report of annual historical energy statistics. For many series, data begin with the year 1949. Included are data on total energy production, consumption, and trade; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, international energy, as well as financial and environment indicators; and data unit conversion tables. Publication of this report is required under Public Law 95–91 (Department of Energy Organization Act), Section 205(c), and is in keeping with responsibilities given to the EIA under Section 205(a)(2), which states: “The Administrator shall be responsible for carrying out a central, comprehensive, and unified energy data and information program which will collect, evaluate, assemble, analyze, and disseminate data and information....” The AER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series in the AER and in other EIA publications.

  11. Annual Energy Review 2009

    SciTech Connect (OSTI)

    Fichman, Barbara T.

    2010-08-01

    The Annual Energy Review (AER) is the U.S. Energy Information Administration's (EIA) primary report of annual historical energy statistics. For many series, data begin with the year 1949. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international energy; financial and environment indicators; and data unit conversions. Publication of this report is required under Public Law 95–91 (Department of Energy Organization Act), Section 205(c), and is in keeping with responsibilities given to the EIA under Section 205(a)(2), which states: “The Administrator shall be responsible for carrying out a central, comprehensive, and unified energy data and information program which will collect, evaluate, assemble, analyze, and disseminate data and information....” The AER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding the content of the AER and other EIA publications.

  12. Electric power annual 1992

    SciTech Connect (OSTI)

    Not Available

    1994-01-06

    The Electric Power Annual presents a summary of electric utility statistics at national, regional and State levels. The objective of the publication is to provide industry decisionmakers, government policymakers, analysts and the general public with historical data that may be used in understanding US electricity markets. The Electric Power Annual is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. ``The US Electric Power Industry at a Glance`` section presents a profile of the electric power industry ownership and performance, and a review of key statistics for the year. Subsequent sections present data on generating capability, including proposed capability additions; net generation; fossil-fuel statistics; retail sales; revenue; financial statistics; environmental statistics; electric power transactions; demand-side management; and nonutility power producers. In addition, the appendices provide supplemental data on major disturbances and unusual occurrences in US electricity power systems. Each section contains related text and tables and refers the reader to the appropriate publication that contains more detailed data on the subject matter. Monetary values in this publication are expressed in nominal terms.

  13. Development of Integrated Meso/Microscale Traffic Simulation Software for Testing Fault Detection and Handling Algorithms in AHS: Final Report

    E-Print Network [OSTI]

    Horowitz, Roberto

    2003-01-01

    Traffic Simulation Software for Testing Fault Detection andTra?c Simulation Software for Testing Fault Detection and

  14. Using Machine Learning Techniques to Identify Botnet Traffic Carl Livadas Robert Walsh David Lapsley W. Timothy Strayer

    E-Print Network [OSTI]

    Lynch, Nancy

    the command and con- trol (C2) traffic of IRC-based botnets -- compromised hosts that are collectively commanded using Internet Relay Chat (IRC). We split this task into two stages: (I) distinguishing between IRC and non-IRC traffic, and (II) distinguishing between botnet and real IRC traffic. For Stage I, we

  15. A Comparison of Static and Dynamic Traffic Assignment Under Tolls: A Study of the Dallas-Fort Worth Network

    E-Print Network [OSTI]

    Kockelman, Kara M.

    A Comparison of Static and Dynamic Traffic Assignment Under Tolls: A Study of the Dallas-Fort Worth, most of the work in the literature uses static transportation models for analysis. The benefits comparison of static traffic assignment with the VISTA model, a simulation-based dynamic traffic assignment

  16. Bicycle-Specific Traffic Signals: Results from a State-of-the-Practice Review Paper # 13-0536

    E-Print Network [OSTI]

    Bicycle-Specific Traffic Signals: Results from a State-of-the-Practice Review Paper # 13-0536 Sam R with known installations of bicycle-specific traffic signals and a review of available engineering guidance); the CROW design manual for bicycle traffic; and the Canadian, U.S. and Californian manuals on uniform

  17. Annual Energy Review 1999

    SciTech Connect (OSTI)

    Seiferlein, Katherine E.

    2000-07-01

    A generation ago the Ford Foundation convened a group of experts to explore and assess the Nation’s energy future, and published their conclusions in A Time To Choose: America’s Energy Future (Cambridge, MA: Ballinger, 1974). The Energy Policy Project developed scenarios of U.S. potential energy use in 1985 and 2000. Now, with 1985 well behind us and 2000 nearly on the record books, it may be of interest to take a look back to see what actually happened and consider what it means for our future. The study group sketched three primary scenarios with differing assumptions about the growth of energy use. The Historical Growth scenario assumed that U.S. energy consumption would continue to expand by 3.4 percent per year, the average rate from 1950 to 1970. This scenario assumed no intentional efforts to change the pattern of consumption, only efforts to encourage development of our energy supply. The Technical Fix scenario anticipated a “conscious national effort to use energy more efficiently through engineering know-how." The Zero Energy Growth scenario, while not clamping down on the economy or calling for austerity, incorporated the Technical Fix efficiencies plus additional efficiencies. This third path anticipated that economic growth would depend less on energy-intensive industries and more on those that require less energy, i.e., the service sector. In 2000, total energy consumption was projected to be 187 quadrillion British thermal units (Btu) in the Historical Growth case, 124 quadrillion Btu in the Technical Fix case, and 100 quadrillion Btu in the Zero Energy Growth case. The Annual Energy Review 1999 reports a preliminary total consumption for 1999 of 97 quadrillion Btu (see Table 1.1), and the Energy Information Administration’s Short-Term Energy Outlook (April 2000) forecasts total energy consumption of 98 quadrillion Btu in 2000. What energy consumption path did the United States actually travel to get from 1974, when the scenarios were drawn, to the end of the century? What happened to the relationship between growth and energy consumption? How did the fuel mix change over this period? What are the effects of energy usage on our environment? What level of consumption will the United States—and the world—record in the Annual Energy Review 2025? We present this edition of the Annual Energy Review to help investigate these important questions and to stimulate and inform our thinking about what the future holds.

  18. Changes to Sub-daily Rainfall Patterns in a Future Climate Seth Westra

    E-Print Network [OSTI]

    Evans, Jason

    -daily rainfall `fragments' (continuous fine-resolution rainfall sequences whose total depth sums to the daily the fraction of the day with no rainfall increased by a median of 1.5%. This highlights that a large proportion resulting from anthropogenic emissions of greenhouse gases remains an important and continuing area

  19. Ecological Modelling 143 (2001) 227243 A globally applicable model of daily solar irradiance

    E-Print Network [OSTI]

    Hunt Jr., E. Raymond

    2001-01-01

    Ecological Modelling 143 (2001) 227­243 A globally applicable model of daily solar irradiance at many ground stations, the total daily solar irradiance (Rs) received at the earth's surface to measured solar irradiance. In a global comparison for the year 1987, VP-RAD-estimated and satellite

  20. Modeling and Generating Daily Changes in Market Variables Using A Multivariate Mixture of Normal Distributions

    E-Print Network [OSTI]

    Wang, Jin

    Modeling and Generating Daily Changes in Market Variables Using A Multivariate Mixture of Normal of the normal distribution for modeling of daily changes in market variables with fatter-than-normal tails is to transform (linearly) a multivariate normalwith an input covariance matrix into the desired multivariate

  1. A knearest-neighbor simulator for daily precipitation and other weather variables

    E-Print Network [OSTI]

    Balaji, Rajagopalan

    A k­nearest-neighbor simulator for daily precipitation and other weather variables Balaji simulation method is provided to generate random sequences of daily weather variables that "honor" the statistical properties of the historical data of the same weather variables at the site. A vector of weather

  2. A simple method to downscale daily wind statistics to hourly wind data

    E-Print Network [OSTI]

    Guo, Zhongling

    2013-01-01

    Wind is the principal driver in the wind erosion models. The hourly wind speed data were generally required for precisely wind erosion modeling. In this study, a simple method to generate hourly wind speed data from daily wind statistics (daily average and maximum wind speeds together or daily average wind speed only) was established. A typical windy location with 3285 days (9 years) measured hourly wind speed data were used to validate the downscaling method. The results showed that the overall agreement between observed and simulated cumulative wind speed probability distributions appears excellent, especially for the wind speeds greater than 5 m s-1 range (erosive wind speed). The results further revealed that the values of daily average erosive wind power density (AWPD) calculated from generated wind speeds fit the counterparts computed from measured wind speeds well with high models' efficiency (Nash-Sutcliffe coefficient). So that the hourly wind speed data can be predicted from daily average and maximu...

  3. Uranium industry annual 1996

    SciTech Connect (OSTI)

    1997-04-01

    The Uranium Industry Annual 1996 (UIA 1996) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing. The UIA 1996 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. Data on uranium raw materials activities for 1987 through 1996 including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2006, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, uranium imports and exports, and uranium inventories are shown in Chapter 2. A feature article, The Role of Thorium in Nuclear Energy, is included. 24 figs., 56 tabs.

  4. Annual energy review 1994

    SciTech Connect (OSTI)

    1995-07-01

    This 13th edition presents the Energy Information Administration`s historical energy statistics. For most series, statistics are given for every year from 1949 through 1994; thus, this report is well-suited to long-term trend analyses. It covers all major energy activities, including consumption, production, trade, stocks, and prices for all major energy commodities, including fossil fuels and electricity. Statistics on renewable energy sources are also included: this year, for the first time, usage of renewables by other consumers as well as by electric utilities is included. Also new is a two-part, comprehensive presentation of data on petroleum products supplied by sector for 1949 through 1994. Data from electric utilities and nonutilities are integrated as ``electric power industry`` data; nonutility power gross generation are presented for the first time. One section presents international statistics (for more detail see EIA`s International Energy Annual).

  5. Uranium Industry Annual, 1992

    SciTech Connect (OSTI)

    Not Available

    1993-10-28

    The Uranium Industry Annual provides current statistical data on the US uranium industry for the Congress, Federal and State agencies, the uranium and electric utility industries, and the public. The feature article, ``Decommissioning of US Conventional Uranium Production Centers,`` is included. Data on uranium raw materials activities including exploration activities and expenditures, resources and reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities including domestic uranium purchases, commitments by utilities, procurement arrangements, uranium imports under purchase contracts and exports, deliveries to enrichment suppliers, inventories, secondary market activities, utility market requirements, and uranium for sale by domestic suppliers are presented in Chapter 2.

  6. Annual Site Environmental Report: 2006

    SciTech Connect (OSTI)

    Nuckolls, H.; /SLAC

    2008-02-22

    This report provides information about environmental programs during the calendar year (CY) of 2006 at the Stanford Linear Accelerator Center (SLAC), Menlo Park, California. Activities that span the calendar year; i.e., stormwater monitoring covering the winter season of 2006/2007 (October 2006 through May 2007), are also included. Production of an annual site environmental report (ASER) is a requirement established by the United States Department of Energy (DOE) for all management and operating (M&O) contractors throughout the DOE complex. SLAC is a federally-funded research and development center with Stanford University as the M&O contractor. SLAC continued to follow the path to self-declare an environmental management system under DOE Order 450.1, 'Environmental Protection Program' and effectively applied environmental management in meeting the site's integrated safety and environmental management system goals. For normal daily activities, all SLAC managers and supervisors are responsible for ensuring that proper procedures are followed so that Worker safety and health are protected; The environment is protected; and Compliance is ensured. Throughout 2006, SLAC focused on these activities through the SLAC management systems. These systems were also the way SLAC approached implementing 'greening of the government' initiatives such as Executive Order 13148. The management systems at SLAC are effective, supporting compliance with all relevant statutory and regulatory requirements. The SLAC Office of Assurance was created during 2006 in response to DOE Order 226.1. During 2006, there were no reportable releases to the environment from SLAC operations, and there were no Notice of Violations issued to SLAC from any of the regulatory agencies that oversee SLAC. In addition, many improvements in waste minimization, recycling, stormwater drain system, groundwater restoration, and SLAC's chemical management system (CMS) were continued during 2006 to better manage chemical use. Program-specific details are discussed below. SLAC operates its air quality management program in compliance with its established permit conditions. The Bay Area Air Quality Management District (BAAQMD) did not conduct a facility inspection of SLAC during 2006, though it did visit the site on four different occasions. The BAAQMD did compliment SLAC for the overall configuration of SLAC's gasoline dispensing facility and of SLAC's asbestos/demolition notification program during two of the visits. DOE awarded SLAC the 2006 Best in Class for Pollution Prevention and Environmental Stewardship Accomplishment in recognition of SLAC's CMS program which manages the procurement and use of chemicals. As an example of the efficiency of the CMS, SLAC reviewed its use of gases and associated tanks and phased out numerous gas tanks that were no longer needed or were not acceptable for long-term storage, in turn, reducing SLAC's on-site chemical inventory. As part of SLAC's waste minimization and management efforts, more than one thousand tons of municipal solid waste was recycled by SLAC during 2006. SLAC operates its industrial and sanitary wastewater management program in compliance with established permit conditions. During 2006, SLAC obtained a new facility-wide wastewater discharge permit which replaced four separate permits that were previously issued to SLAC. In 2006, no radiological incidents occurred that increased radiation levels or released radioactivity to the environment. In addition to managing its radioactive wastes safely and responsibly, SLAC worked to reduce the amount of waste generated. SLAC has implemented programs and systems to ensure compliance with all radiological requirements related to the environment. The Environmental Restoration Program continued work on site characterization and evaluation of remedial alternatives at four sites with volatile organic compounds in groundwater and several areas with polychlorinated biphenyls and low concentrations of lead in soil. SLAC is regulated under a site cleanup requirements order (board or

  7. Annual Site Environmental Report, 2004

    SciTech Connect (OSTI)

    Nuckolls, H.; /SLAC

    2006-04-19

    This report provides information about environmental programs during 2004 at the Stanford Linear Accelerator Center (SLAC). Seasonal activities that span calendar years are also included. Production of an annual site environmental report (ASER) is a requirement established by the United States Department of Energy (DOE) for all management and operating (M&O) contractors throughout the DOE complex. SLAC is a federally-funded, research and development center with Stanford University as the M&O contractor. The most noteworthy information in this report is summarized in this section. This summary demonstrates the effective application of SLAC environmental management in meeting the site's integrated safety management system (ISMS) goals. For normal daily activities, all SLAC managers and supervisors are responsible for ensuring that proper procedures are followed so that worker safety and health are protected; the environment is protected; and compliance is ensured. Throughout 2004, SLAC focused on these activities through the SLAC management systems (described in Chapter 3). These systems were also the way SLAC approached implementing ''greening of the government'' initiatives such as Executive Order 13148. The management systems at SLAC are effective, supporting compliance with all relevant statutory and regulatory requirements. There were no reportable releases to the environment from SLAC operations during 2004. In addition, many improvements were continued during 2004, in waste minimization, recycling, decreasing air emission rates, stormwater drain system, groundwater restoration, and planning for a chemical management system to manage chemical use better. Program-specific details discussed are: (1) Air Quality--SLAC operates its air quality management program in compliance with its established permit conditions: 2004 was the seventh consecutive year the air quality management program operated without receiving any notices of violation (NOVs) from regulators. (2) Hazardous Waste--The Environmental Health Division of the San Mateo County Health Services Agency is the California certified unified permitting agency (CUPA) responsible for overseeing hazardous materials and waste management at SLAC. The CUPA made no facility inspections of SLAC during 2004. (3) Stormwater and Industrial Wastewater--SLAC operates its industrial and sanitary wastewater management program in compliance with established permit conditions: 2004 was the eighth consecutive year the program operated without receiving any NOVs from program regulators. During 2004 the last 32 unauthorized discharge connections to the stormwater system were eliminated. (4) Hazardous Materials Program--Although SLAC has been successful in meeting the regulatory requirements for managing hazardous materials, it has decided to pursue a more active strategy in reducing its use of such materials. The cornerstone of this effort is the implementation of a chemical management system (CMS). (5) Environmental Radiological Program--In 2004, no radiological incidents occurred that increased radiation levels or released radioactivity to the environment. In addition to managing its radioactive wastes safely and responsibly, SLAC worked to reduce the amount of waste generated. As detailed in Chapter 5, SLAC has implemented programs and systems to ensure compliance with all radiological requirements related to the environment. (6) Groundwater Protection and Environmental Restoration--In general, environmental concerns at SLAC are limited in number, small in scale and are actively being managed or eliminated. The Environmental Restoration Program continued work on site characterization and evaluation of remedial alternatives at four sites with volatile organic compounds (VOCs) in groundwater and several areas with polychlorinated biphenyls (PCBs) and lead in soil.

  8. 2012 Annual Report Research Reactor Infrastructure Program

    SciTech Connect (OSTI)

    Douglas Morrell

    2012-11-01

    The content of this report is the 2012 Annual Report for the Research Reactor Infrastructure Program.

  9. 1994 MCAP annual report

    SciTech Connect (OSTI)

    Harmony, S.C.; Boyack, B.E.

    1995-04-01

    VELCOR is an integrated, engineering-level computer code that models the progression of severe accidents in light water reactor (LWR) nuclear power plants. The entire spectrum of severe accident phenomena, including reactor coolant system and containment thermal-hydraulic response, core heatup, degradation and relocation, and fission product release and transport is treated in MELCOR in a unified framework for both boiling water reactors (BWRs) and pressurized water reactors (PWRs). Its current uses include the estimation of severe accident source terms and their sensitivities and uncertainties in a variety of applications. Independent assessment efforts have been successfully completed by the US and international MELCOR user communities. Most of these independent assessment efforts have been conducted to support the needs and fulfill the requirements of the individual user organizations. The resources required to perform an extensive set of model and integral code assessments are large. A prudent approach to fostering code development and maturation is to coordinate the individual assessment efforts of the MELCOR user community. While retaining individual control over assessment resources, each organization using the MELCOR code could work with the other users to broaden assessment coverage and minimize duplication. In recognition of these considerations, the US Nuclear Regulatory Commission (US NRC) has initiated the MELCOR Cooperative Assessment Program (MCAP), a vehicle for coordinating and standardizing the assessment practices of the various MELCOR users. In addition, the user community will have a forum to better communicate lessons learned regarding MELCOR applications, capabilities, and user guidelines and limitations and to provide a user community perspective on code development needs and priorities. This second Annual Report builds on the foundation laid with the first Annual Report.

  10. 12010/2011 Annual Report University of Alberta Museums Annual Report,

    E-Print Network [OSTI]

    Machel, Hans

    12010/2011 Annual Report University of Alberta Museums Annual Report, including the report of the University of Alberta Museums Policy and Planning Committee ANNUAL REPORT July 1, 2009 to June 30, 2010 Annual Report July 1, 2010 to June 30, 2011 University of Alberta Museums Annual Report, including

  11. Determination of traffic responsive plan selection factors and thresholds using artificial neural networks 

    E-Print Network [OSTI]

    Sharma, Anuj

    2004-11-15

    events, holiday traffic, shifting of peak times due to slight changes in office timings, or just due to a recursive demand with variable cycle length. In order to implement the most efficient timing plan for a given demand, traffic responsive plan..., but in a random manner. These cases can be handled efficiently using the TRPS mode, which provides a mechanism to select a timing plan as a real-time response to measured changes in traffic demands. So TRPS mode, if correctly set, can result...

  12. ITCN 49th Annual Convention

    Broader source: Energy.gov [DOE]

    The Inter-Tribal Council of Nevada, Inc. will be hosting its 49th Annual Convention, themed "Making a Difference for Nevada Tribes," December 8-11, 2014 at John Ascuaga’s Nugget in Sparks, Nevada.

  13. The Annual Growth In Plants

    E-Print Network [OSTI]

    Courtright, J. E.

    1903-01-01

    KU ScholarWorks | The University of Kansas Pre-1923 Dissertations and Theses Collection The Annual Growth In Plants 1903 by J. E. Courtright This work was digitized by the Scholarly Communications program staff in the KU Libraries’ Center...

  14. Data Management Group Annual Report

    E-Print Network [OSTI]

    Toronto, University of

    Data Management Group Annual Report 2000 prepared by: Data Management Group Joint Program PROCESSING ...................................................2 Text Based Data Retrieval System `drs'.................................2 Internet Browser Data Retrieval System (iDRS).....................3 Complex Data Requests

  15. Data Management Group Annual Report

    E-Print Network [OSTI]

    Toronto, University of

    iv Data Management Group Annual Report 2003 City of Hamilton City of Toronto GO Transit Regional of York Toronto Transit Commission The Data Management Group is a research program located ........................................................................................................ 3 Text-based Data Retrieval System `drs

  16. Data Management Group Annual Report

    E-Print Network [OSTI]

    Toronto, University of

    Data Management Group Annual Report 2001 prepared by: Data Management Group Joint Program..............................................................................2 Text Based Data Retrieval System `drs' ..........................................................2 Internet Browser Data Retrieval System (iDRS)..............................................3 Complex Data

  17. Data Management Group Annual Report

    E-Print Network [OSTI]

    Toronto, University of

    Data Management Group Annual Report 2002 prepared by: Data Management Group Joint Program Based Data Retrieval System `drs' ............................................... 3 Internet Browser Data Retrieval System (iDRS) .................................. 4 Complex Data Requests

  18. LLNL NESHAPs 2004 Annual Report

    SciTech Connect (OSTI)

    Harrach, R; Gallegos, G; Peterson, R; Wilson, K; Harrach, R J; Gallegos, G M; Peterson, S R; Wilson, K R

    2005-06-27

    This annual report is prepared pursuant to the National Emission Standards for Hazardous Air Pollutants (NESHAPs; Title 40 Code of Federal Regulations [CFR] Part 61, Subpart H). Subpart H governs radionuclide emissions to air from Department of Energy (DOE) facilities.

  19. Queueing in Traffic Flows This project studies the effects of vehicle routing on pollution levels. We aim to develop queueing theory

    E-Print Network [OSTI]

    Boucherie, Richard J.

    Queueing in Traffic Flows This project studies the effects of vehicle routing on pollution levels model to predict air pollution in a wider region. These predictions will be tested using remote sensing)-direct road traffic to avoid pollution. Traffic Theory The capacity drop is a process in which the traffic

  20. School of Engineering | University of Connecticut Annual Report School of Engineering Annual Report 1

    E-Print Network [OSTI]

    Alpay, S. Pamir

    2000 2001 School of Engineering | University of Connecticut Annual Report #12;School of Engineering Annual Report 1 University of ConnecticutUniversity of Connecticut School of Engineering Annual Report