National Library of Energy BETA

Sample records for traffic conditions prevention

  1. 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

  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 - Medical://www.umaec.umich.edu/closures.html Roadway Closure Existing Traffic Pattern I0 400 800 1,200200 Feet Pedestrian Route Existing Building

  3. 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 ...

  4. 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

  5. Moore et al. 1 Modeling the Impact of Traffic Conditions on the Variability of Mid-block Roadside Fine

    E-Print Network [OSTI]

    Bertini, Robert L.

    variables; additionally, the effects of vehicle types and wind direction were quantified. Modeling resultsMoore et al. 1 Modeling the Impact of Traffic Conditions on the Variability of Mid-block Roadside Fine Particulate Matter Concentrations on an Urban Arterial Adam Moore, adam.moore@pdx.edu* Miguel

  6. Optimization of airport terminal-area air traffic operations under uncertain weather conditions

    E-Print Network [OSTI]

    Pfeil, Diana Michalek

    2011-01-01

    Convective weather is responsible for large delays and widespread disruptions in the U.S. National Airspace System, especially during summer. Although Air Traffic Flow Management algorithms exist to schedule and route ...

  7. Performance Analysis of m-retry BEB based DCF under Unsaturated Traffic Condition

    E-Print Network [OSTI]

    Siddique, Atiur Rahman

    2010-01-01

    The IEEE 802.11 standard offers a cheap and promising solution for small scale wireless networks. Due to the self configuring nature, WLANs do not require large scale infrastructure deployment, and are scalable and easily maintainable which incited its popularity in both literature and industry. In real environment, these networks operate mostly under unsaturated condition. We investigate performance of such a network with m-retry limit BEB based DCF. We consider imperfect channel with provision for power capture. Our method employs a Markov model and represents the most common performance measures in terms of network parameters making the model and mathematical analysis useful in network design and planning. We also explore the effects of packet error, network size, initial contention window, and retry limit on overall performance of WLANs.

  8. 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.

  9. 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...

  10. Optimizing Urban Rail Timetable under Time-dependent Demand and Oversaturated Conditions School of Traffic and Transportation

    E-Print Network [OSTI]

    Zhou, Xuesong

    -scheduling model to minimize both the expected waiting times for high-speed passenger trains and the total travel times of high-speed and medium-speed trains. Goverde (2007) described a railway timetable stability1 Optimizing Urban Rail Timetable under Time-dependent Demand and Oversaturated Conditions Huimin

  11. 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...

  12. 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 ...

  13. 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

  14. Incentivising safe sex: A randomised trial of conditional cash transfers for HIV and sexually transmitted infection prevention in rural Tanzania

    E-Print Network [OSTI]

    2012-01-01

    CCT for HIV/STI prevention in Tanzania related behaviors insurveillance system, Tanzania. In: Sankoh OA, Kahn K,infection prevention in rural Tanzania Damien de Walque, 1

  15. Preventing Space Traffic Jams | Department of Energy

    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: Alternative FuelsofProgram: Report Appendices | Department of EnergyDepartmentREPORT TO

  16. 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

  17. 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...

  18. 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

  19. 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

  20. 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.

  1. 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

  2. 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

  3. Transport of Long-Range Dependent Traffic in Single-Hop and Multi-Hop IEEE 802.11e Networks

    E-Print Network [OSTI]

    Bregni, Stefano

    between traffic flows competing for radio re- sources and could prevent, at least partially, LRD traffic that a partial isolation of service classes is enabled by the IEEE 802.11e access function. However, competing the propagation of SS of traffic through wireless, energy-conserving gateways. Tickoo and Sikdar [16] developed

  4. 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

  5. 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

  6. Pollution Prevention

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

    Pollution Prevention Pollution Prevention Promoting green purchasing, reuse and recycling, and the conservation of fuel, energy, and water. April 17, 2012 Pollution prevention and...

  7. Pollution Prevention

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

    Pollution Prevention Goal 5: Pollution Prevention LANL is dedicated to finding ways to reduce waste, prevent pollution, and recycle waste that cannot be reduced. Energy...

  8. 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

  9. 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

  10. 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

  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 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

  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 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

  13. 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.

  14. 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

  15. 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

  16. A PREDICTIVE MACROSCOPIC CITY TRAFFIC FLOWS SIMULATION MODEL E.T.Peytchev1

    E-Print Network [OSTI]

    Bargiela, Andrzej

    in real time in response to changing traffic conditions. Examples of such real time, demand responsive of demand responsive control systems over the fixed timing plans systems has been found to be very

  17. 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

  18. 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

  19. 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...

  20. 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

  1. 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

  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 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

  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 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

  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-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

  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-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

  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-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

  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-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

  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-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

  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-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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  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-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

  20. 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

  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;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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  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 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

  12. 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

  13. 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

  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 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

  15. 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

  16. 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

  17. 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

  18. 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

  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 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

  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 ­ 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

  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;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

  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 & 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

  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 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

  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 ­ 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

  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 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

  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 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

  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 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

  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-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

  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 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

  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 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

  11. 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

  12. NASA/TM-2010-216706 Formal Verification of Air Traffic

    E-Print Network [OSTI]

    Narkawicz, Anthony J.

    June 2010 NASA/TM-2010-216706 Formal Verification of Air Traffic Conflict Prevention Bands Ecole polytechnique, France #12;NASA STI Program . . . in Profile Since its founding, NASA has been dedicated to the advancement of aeronautics and space science. The NASA scientific and technical information

  13. 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.

  14. 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...

  15. 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

  16. 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

  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-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

  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-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

  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-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

  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: 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

  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-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

  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 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

  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 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

  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-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

  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 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

  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 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

  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-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

  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 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

  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 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

  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-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

  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 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

  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 ­ 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

  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-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

  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 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

  15. 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...

  16. 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.

  17. Towards practical implementation of computational solution of the Kinematic -wave Model for simulating traffic-flow scenarios 

    E-Print Network [OSTI]

    Kumar, Nishant

    2004-11-15

    The Kinematic-wave model is one of the models proposed to simulate vehicular traffic. It has not received widespread use because of poor understanding of associated interface conditions and early use of incorrect numerical schemes used. This thesis...

  18. Symmetry breaking in optimal timing of traffic signals on an idealized two-way street

    E-Print Network [OSTI]

    Panaggio, Mark J; Hu, Peiguang; Abrams, Daniel M

    2013-01-01

    Simple physical models based on fluid mechanics have long been used to understand the flow of vehicular traffic on freeways; analytically tractable models of flow on an urban grid, however, have not been as extensively explored. In an ideal world, traffic signals would be timed such that consecutive lights turned green just as vehicles arrived, eliminating the need to stop at each block. Unfortunately, this "green wave" scenario is generally unworkable due to frustration imposed by competing demands of traffic moving in different directions. Until now this has typically been resolved by numerical simulation and optimization. Here, we develop a theory for the flow in an idealized system consisting of a long two-way road with periodic intersections. We show that optimal signal timing can be understood analytically and that there are counter-intuitive asymmetric solutions to this signal coordination problem. We further explore how these theoretical solutions degrade as traffic conditions vary and automotive dens...

  19. 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 ...

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  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 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

  6. 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

  7. 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

  8. 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

  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 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

  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 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

  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-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

  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 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

  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 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

  14. 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

  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 RISK ASSESSMENT (VTRA) 2010 11/22/2013 3 GW-VCU Draft #12;T: GW - KM - DP & ER 3D Risk Profile All FV

  16. 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.

  17. 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

  18. Pollution prevention efforts recognized

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

    Stories Pollution prevention efforts recognized Pollution prevention efforts recognized Pollution prevention awards recognize individuals or teams whose efforts minimize waste,...

  19. 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...

  20. 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

  1. 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.

  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 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

  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 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

  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-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

  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-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

  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-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

  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-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

  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-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

  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-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

  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 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

  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 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

  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-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

  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-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

  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-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

  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 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

  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 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

  17. 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

  18. Environmental Conditions Environmental Conditions

    E-Print Network [OSTI]

    Environmental Conditions Environmental Conditions Appendix II The unique geology, hydrology and instream habitat. This chapter examines how environmental conditions in the Deschutes watershed affect, the discussion characterizes the environmental conditions within three watershed areas: the Lower Deschutes

  19. 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

  20. 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

  1. 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 ...

  2. 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...

  3. 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,

  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 & 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

  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 + 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

  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 & 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

  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 + 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

  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 + 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

  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 ­ 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

  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;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

  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 + 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

  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 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

  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 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

  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 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

  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 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

  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 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

  17. Pollution Prevention Awards

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

    Sustainability Pollution Prevention Awards Pollution Prevention Awards Pollution Prevention awards are presented each year for minimized waste, conserved resources, and other...

  18. 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

  19. Real-Time Traffic Information for Emergency Evacuation Operations: Phase A Final Report

    SciTech Connect (OSTI)

    Franzese, Oscar [ORNL; Zhang, Li [Mississippi State University (MSU); Mahmoud, Anas M. [Mississippi State University (MSU); Lascurain, Mary Beth [ORNL; Wen, Yi [Mississippi State University (MSU)

    2010-05-01

    There are many instances in which it is possible to plan ahead for an emergency evacuation (e.g., an explosion at a chemical processing facility). For those cases, if an accident (or an attack) were to happen, then the best evacuation plan for the prevailing network and weather conditions would be deployed. In other cases (e.g., the derailment of a train transporting hazardous materials), there may not be any previously developed plan to be implemented and decisions must be made ad-hoc on how to proceed with an emergency evacuation. In both situations, the availability of real-time traffic information plays a critical role in the management of the evacuation operations. To improve public safety during a vehicular emergency evacuation it is necessary to detect losses of road capacity (due to incidents, for example) as early as possible. Once these bottlenecks are identified, re-routing strategies must be determined in real-time and deployed in the field to help dissipate the congestion and increase the efficiency of the evacuation. Due to cost constraints, only large urban areas have traffic sensor deployments that permit access to some sort of real-time traffic information; any evacuation taking place in any other areas of the country would have to proceed without real-time traffic information. The latter was the focus of this SERRI/DHS (Southeast Region Research Initiative/Department of Homeland Security) sponsored project. That is, the main objective on the project was to improve the operations during a vehicular emergency evacuation anywhere by using newly developed real-time traffic-information-gathering technologies to assess traffic conditions and therefore to potentially detect incidents on the main evacuation routes. Phase A of the project consisted in the development and testing of a prototype system composed of sensors that are engineered in such a way that they can be rapidly deployed in the field where and when they are needed. Each one of these sensors is also equipped with their own power supply and a GPS (Global Positioning System) device to auto-determine its spatial location on the transportation network under surveillance. The system is capable of assessing traffic parameters by identifying and re-identifying vehicles in the traffic stream as those vehicles pass over the sensors. The system of sensors transmits, through wireless communication, real-time traffic information (travel time and other parameters) to a command and control center via an NTCIP (National Transportation Communication for ITS Protocol) -compatible interface. As an alternative, an existing NTCIP-compatible system accepts the real-time traffic information mentioned and broadcasts the traffic information to emergency managers, the media and the public via the existing channels. A series of tests, both in a controlled environment and on the field, were conducted to study the feasibility of rapidly deploying the system of traffic sensors and to assess its ability to provide real-time traffic information during an emergency evacuation. The results of these tests indicated that the prototype sensors are reliable and accurate for the type of application that is the focus of this project.

  20. 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. ...

  1. 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...

  2. 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...

  3. 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

  4. 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

  5. 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 ...

  6. 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...

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. Making the Traffic Operations Case for Congestion Pricing: Operational Impacts of Congestion Pricing

    SciTech Connect (OSTI)

    Chin, Shih-Miao [ORNL; Hu, Patricia S [ORNL; Davidson, Diane [ORNL

    2011-02-01

    Congestion begins when an excess of vehicles on a segment of roadway at a given time, resulting in speeds that are significantly slower than normal or 'free flow' speeds. Congestion often means stop-and-go traffic. The transition occurs when vehicle density (the number of vehicles per mile in a lane) exceeds a critical level. Once traffic enters a state of congestion, recovery or time to return to a free-flow state is lengthy; and during the recovery process, delay continues to accumulate. The breakdown in speed and flow greatly impedes the efficient operation of the freeway system, resulting in economic, mobility, environmental and safety problems. Freeways are designed to function as access-controlled highways characterized by uninterrupted traffic flow so references to freeway performance relate primarily to the quality of traffic flow or traffic conditions as experienced by users of the freeway. The maximum flow or capacity of a freeway segment is reached while traffic is moving freely. As a result, freeways are most productive when they carry capacity flows at 60 mph, whereas lower speeds impose freeway delay, resulting in bottlenecks. Bottlenecks may be caused by physical disruptions, such as a reduced number of lanes, a change in grade, or an on-ramp with a short merge lane. This type of bottleneck occurs on a predictable or 'recurrent' basis at the same time of day and same day of week. Recurrent congestion totals 45% of congestion and is primarily from bottlenecks (40%) as well as inadequate signal timing (5%). Nonrecurring bottlenecks result from crashes, work zone disruptions, adverse weather conditions, and special events that create surges in demand and that account for over 55% of experienced congestion. Figure 1.1 shows that nonrecurring congestion is composed of traffic incidents (25%), severe weather (15%), work zones, (10%), and special events (5%). Between 1995 and 2005, the average percentage change in increased peak traveler delay, based on hours spent in traffic in a year, grew by 22% as the national average of hours spent in delay grew from 36 hours to 44 hours. Peak delay per traveler grew one-third in medium-size urban areas over the 10 year period. The traffic engineering community has developed an arsenal of integrated tools to mitigate the impacts of congestion on freeway throughput and performance, including pricing of capacity to manage demand for travel. Congestion pricing is a strategy which dynamically matches demand with available capacity. A congestion price is a user fee equal to the added cost imposed on other travelers as a result of the last traveler's entry into the highway network. The concept is based on the idea that motorists should pay for the additional congestion they create when entering a congested road. The concept calls for fees to vary according to the level of congestion with the price mechanism applied to make travelers more fully aware of the congestion externality they impose on other travelers and the system itself. The operational rationales for the institution of pricing strategies are to improve the efficiency of operations in a corridor and/or to better manage congestion. To this end, the objectives of this project were to: (1) Better understand and quantify the impacts of congestion pricing strategies on traffic operations through the study of actual projects, and (2) Better understand and quantify the impacts of congestion pricing strategies on traffic operations through the use of modeling and other analytical methods. Specifically, the project was to identify credible analytical procedures that FHWA can use to quantify the impacts of various congestion pricing strategies on traffic flow (throughput) and congestion.

  16. 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

  17. 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...

  18. 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

  19. 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...

  20. 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

  1. 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.

  2. 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.

  3. 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.

  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 & 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

  5. 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%.

  6. 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.

  7. A Model and Case Study of the Impacts of Stochastic Capacity on Freeway Traffic Flow Benefits and Costs

    E-Print Network [OSTI]

    Bertini, Robert L.

    and Costs Alexander Bigazzi1 and Dr. Miguel Figliozzi2 1 Department of Civil and Environmental Engineering conditions with the accompanying heavy congestion costs. As the traffic volume at which flow breaks down is uncertain, this research utilizes a stochastic capacity model to estimate congestion costs in terms

  8. Simultaneous Measurement of On-Road Vehicle Emissions and Traffic Flow Using Remote Sensing and an Area-Wide

    E-Print Network [OSTI]

    Frey, H. Christopher

    1 Simultaneous Measurement of On-Road Vehicle Emissions and Traffic Flow Using Remote Sensing Current practice for estimating vehicle emissions is based upon the use of planning-level vehicle mile input emissions data are based upon dynamometer testing of new vehicles under controlled conditions and

  9. 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.

  10. 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.

  11. 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.

  12. 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...

  13. 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...

  14. 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...

  15. 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

  16. 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...

  17. 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...

  18. awareness and pollution prevention

    E-Print Network [OSTI]

    Tsien, Roger Y.

    Hazard awareness and pollution prevention for contractors and visitors at UCSD #12;Hazard Awareness and Pollution Prevention For Contractors and Visitors at UC San Diego This booklet was developed by UC San Diego ..............................................5 Storm Water Pollution Prevention.....................5 Sanitary Sewer System Management

  19. 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

  20. 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

  1. 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

  2. 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...

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. V-201: Cisco Intrusion Prevention System SSP Fragmented Traffic Denial of

    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 About1996HowFOAShowing YouNeedofDepartment ofDeploymentDepartmentService

  11. VTRA 2010 2013 Preventing Oil Spills from Large Ships and Barges in Northern Puget Sound & Strait of Juan de Fuca

    E-Print Network [OSTI]

    van Dorp, Johan René

    VTRA 2010 2013 Preventing Oil Spills from Large Ships and Barges in Northern Puget Sound & Strait Oil Spill Maritime Simulation Incident Data Expert Judgment & Accident Data Oil Outflow Model TOTAL 2010 TRAFFIC DENSITY 75.2% - NON Focus Vessel 17.0% - CARGO Focus Vessel 7.8% - OIL Focus Vessel + 100

  12. 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;

  13. 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

  14. 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

  15. Emergency evacuation/transportation plan update: Traffic model development and evaluation of early closure procedures. Final report

    SciTech Connect (OSTI)

    1993-10-28

    Prolonged delays in traffic experienced by Laboratory personnel during a recent early dismissal in inclement weather, coupled with reconstruction efforts along NM 502 east of the White Rock Wye for the next 1 to 2 years, has prompted Los Alamos National Laboratory (LANL) to re-evaluate and improve the present transportation plan and its integration with contingency plans maintained in other organizations. Facilities planners and emergency operations staff need to evaluate the transportation system`s capability to inefficiently and safely evacuate LANL under different low-level emergency conditions. A variety of potential procedures governing the release of employees from the different technical areas (TAs) requires evaluation, perhaps with regard to multiple emergency-condition scenarios, with one or more optimal procedures ultimately presented for adoption by Lab Management. The work undertaken in this project will hopefully lay a foundation for an on-going, progressive transportation system analysis capability. It utilizes microscale simulation techniques to affirm, reassess and validate the Laboratory`s Early Dismissal/Closure/Delayed Opening Plan. The Laboratory is required by Federal guidelines, and compelled by prudent practice and conscientious regard for the welfare of employees and nearby residents, to maintain plans and operating procedures for evacuation if the need arises. The tools developed during this process can be used outside of contingency planning. It is anticipated that the traffic models developed will allow site planners to evaluate changes to the traffic network which could better serve the normal traffic levels. Changes in roadway configuration, control strategies (signalization and signing), response strategies to traffic accidents, and patterns of demand can be modelled using the analysis tools developed during this project. Such scenarios typically are important considerations in master planning and facilities programming.

  16. LEAD POISONING PREVENTION INFORMATION

    E-Print Network [OSTI]

    Families AreForever LEAD POISONING PREVENTION INFORMATION FOR PARENTS & PROSPECTIVE-lead levels There is no safe level of lead in the body. Often, symptoms are not obvious, so lead poisoning's medical examination in the U.S. or contact your state or local Childhood Lead Poisoning Prevention Program

  17. 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

  18. 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...

  19. 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 ...

  20. 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 ...

  1. 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

  2. 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...

  3. 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 ...

  4. 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 ...

  5. 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

  6. 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...

  7. 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

  8. 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...

  9. 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.

  10. 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.

  11. 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.

  12. 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...

  13. 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 ...

  14. 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 ...

  15. 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 ...

  16. 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

  17. 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...

  18. 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 ...

  19. 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

  20. 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

  1. 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

  2. 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 ...

  3. 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

  4. 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.

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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;

  4. 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.

  5. 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.

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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...

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. Security Conditions

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2004-07-08

    This Notice ensures that DOE uniformly meets the requirements of the Homeland Security Advisory System outlined in Homeland Security Presidential Directive-3, Threat Conditions and Associated Protective Measures, dated 3-11-02, and provides responses specified in Presidential Decision Directive 39, U.S. Policy on Counterterrorism (U), dated 6-21-95. It cancels DOE N 473.8, Security Conditions, dated 8-7-02. Extended until 7-7-06 by DOE N 251.64, dated 7-7-05 Cancels DOE N 473.8

  7. MEASURING LONGRANGE DEPENDENCE UNDER CHANGING TRAFFIC CONDITIONS Matthew Roughan Darryl Veitch

    E-Print Network [OSTI]

    Roughan, Matthew

    Software Engineering Research Centre, RMIT University 110 Victoria St, Carlton, Vic 3053, Australia email when a time­series is non­stationary. In particular the effect of polynomial trends in data may -- the long term correlations cause apparent trends, encouraging the erroneous conclusion that the data is non

  8. 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.

  9. 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

  10. Droplet traffic in microfluidic networks: A simple model for understanding and designing

    E-Print Network [OSTI]

    M. Schindler; A. Ajdari

    2007-12-20

    We propose a simple model to analyze the traffic of droplets in microfluidic ``dual networks''. Such functional networks which consist of two types of channels, namely those accessible or forbidden to droplets, often display a complex behavior characteristic of dynamical systems. By focusing on three recently proposed configurations, we offer an explanation for their remarkable behavior. Additionally, the model allows us to predict the behavior in different parameter regimes. A verification will clarify fundamental issues, such as the network symmetry, the role of the driving conditions, and of the occurrence of reversible behavior. The model lends itself to a fast numerical implementation, thus can help designing devices, identifying parameter windows where the behavior is sufficiently robust for a devices to be practically useful, and exploring new functionalities.

  11. Los Alamos wins 2008 Pollution Prevention awards

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

    2008 Pollution Prevention awards Los Alamos wins 2008 Pollution Prevention awards Winner of two Best-in-Class Pollution Prevention awards and six Environmental Stewardship awards...

  12. 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...

  13. 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

  14. Initiatives for proliferation prevention

    SciTech Connect (OSTI)

    1997-04-01

    Preventing the proliferation of weapons of mass destruction is a central part of US national security policy. A principal instrument of the Department of Energy`s (DOE`s) program for securing weapons of mass destruction technology and expertise and removing incentives for scientists, engineers and technicians in the newly independent states (NIS) of the former Soviet Union to go to rogue countries or assist terrorist groups is the Initiatives for Proliferation Prevention (IPP). IPP was initiated pursuant to the 1994 Foreign Operations Appropriations Act. IPP is a nonproliferation program with a commercialization strategy. IPP seeks to enhance US national security and to achieve nonproliferation objectives by engaging scientists, engineers and technicians from former NIS weapons institutes; redirecting their activities in cooperatively-developed, commercially viable non-weapons related projects. These projects lead to commercial and economic benefits for both the NIS and the US IPP projects are funded in Russian, Ukraine, Kazakhstan and Belarus. This booklet offers an overview of the IPP program as well as a sampling of some of the projects which are currently underway.

  15. Therapeutic prevention of colorectal carcinogenesis.

    E-Print Network [OSTI]

    Meyskens, FL

    2011-01-01

    Solomon SD, Kim K, et al.  Celecoxib for the prevention of Cardiovascular risk of Celecoxib in 6 randomized placebo­

  16. 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

  17. 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

  18. 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

  19. 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 ...

  20. 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

  1. 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.

  2. 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

  3. 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

  4. Waste IncIneratIon and Waste PreventIon

    E-Print Network [OSTI]

    Columbia University

    replace fossil energy sources such as coal or oil and prevent about 9.75 million tonnes of carbon dioxide in recent years would withdraw these from material recovery. Regarding this point, the UBA would emphasise-/Abfallgesetz) continues to hold: Waste prevention has priority over recovery and disposal. Nevertheless, the use of waste

  5. 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.

  6. 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 |

  7. 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...

  8. 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.

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. "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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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...

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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 ...

  19. 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

  20. 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...

  1. 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 ...

  2. Policy on adverse weather conditions affecting Higher Education Review visits

    E-Print Network [OSTI]

    Neirotti, Juan Pablo

    Policy on adverse weather conditions affecting Higher Education Review visits This policy entered into owing to adverse weather conditions will be by mutual agreement of QAA and the provider. Attendance at the review visit by the QAA officer If adverse weather conditions prevent, or appear likely

  3. 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

  4. CANCER GENETICS & PREVENTION HEREDITARY BREAST AND OVARIAN CANCER

    E-Print Network [OSTI]

    Liu, Xiaole Shirley

    CANCER GENETICS & PREVENTION HEREDITARY BREAST AND OVARIAN CANCER SYNDROME (HBOC) ­ BRCA2 PATIENT INFORMATION What is Hereditary Breast and Ovarian Cancer syndrome? People with BRCA2 alterations have a genetic condition called Hereditary Breast and Ovarian Cancer syndrome (HBOC). HBOC is caused by an error

  5. 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

  6. 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

  7. 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

  8. Safe Tractor Operation: Rollover Prevention 

    E-Print Network [OSTI]

    Smith, David

    2005-04-07

    About 250 people are killed each year in tractor accidents, and rollovers cause more than half of these fatalities. In this publication you'll learn about the physics of tractor stability, how to prevent side and rear ...

  9. Adolescent drug abuse - Awareness & prevention

    E-Print Network [OSTI]

    Chakravarthy, Bharath; Shah, Shyam; Lotfipour, Shahram

    2013-01-01

    alcohol, tobacco and other drug use. Int Rev Psychiatry.therapy for adolescent drug abuse. J Clin Child Psychol.outcomes in an indicated drug prevention program for high-

  10. Health Behavior Health Promotion -Prevention

    E-Print Network [OSTI]

    Meagher, Mary

    Health Behavior Health Promotion - Prevention Modification of Health Attitudes and Health Behavior #12;Health Promotion: An Overview Basic philosophy Good health = individual and collective goal interventions Public Health Strategies #12;Introduction to Health Behaviors: Role of Behavioral Factors

  11. Couples Eating Disorder Prevention Program 

    E-Print Network [OSTI]

    Ramirez-Cash, Ana L.

    2010-07-14

    Body image dissatisfaction and eating disorders are more prevalent in today's society than ever. As a result, several prevention programs targeting the common eating disorder risk factors have been developed. The purpose of the current study...

  12. Pollution Prevention - Environmental Impact Reduction Checklists...

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

    Pollution Prevention - Environmental Impact Reduction Checklists for NEPA309 Reviewers Pollution Prevention - Environmental Impact Reduction Checklists for NEPA309 Reviewers The...

  13. Guidance on Incorporating EPA's Pollution Prevention Strategy...

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

    The guidance discusses the Environmental Protection Agency's definition of pollution prevention; how to incorporate pollution prevention into the EPA environmental review process...

  14. Implantation, Activation, Characterization and Prevention/Mitigation...

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

    Activation, Characterization and PreventionMitigation of Internal Short Circuits in Lithium-Ion Cells Implantation, Activation, Characterization and PreventionMitigation of...

  15. Data Tethers: Preventing Information Leakage by Enforcing Environmental Data Access Policies

    E-Print Network [OSTI]

    California at Los Angeles, University of

    Data Tethers: Preventing Information Leakage by Enforcing Environmental Data Access Policies. Data Tethers provides flexible environmental policies, which can be attached to data, specifying better control of information leakage by attaching environmental policies to data to specify conditions

  16. 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...

  17. 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

  18. Pollution prevention in electroplating industries

    SciTech Connect (OSTI)

    Altmayer, F. [Scientific Control Labs., Inc., Chicago, IL (United States)

    1995-09-01

    The electroplating industry utilizes numerous recovery-and-recycle techniques to return a portion or all of the process chemical to the origin. The most commonly practiced pollution prevention option in electroplating is the utilization of drag-out rinses. The typical plater will first evaluate the efficacy of drag-out rinsing; will determine if a viable, less polluting or nonpolluting substitute exists; and will make those changes before investing in recovery-and-recycle equipment. This chapter focuses on the equipment and chemical processes available for a pollution prevention program in electroplating.

  19. Analysis of seasonal and day-of-week traffic patterns at national parks 

    E-Print Network [OSTI]

    Liggett, Lindsay Elizabeth

    2009-05-15

    The National Park Service (NPS) is currently contemplating the implementation of a system-wide traffic monitoring program. While several of the national parks within this network collect continuous vehicle data at multiple stations within each park...

  20. Investigating conformance monitoring issues in air traffic control using fault detection approaches

    E-Print Network [OSTI]

    Reynolds, Tom George, 1972-

    2004-01-01

    In order to maintain Air Traffic Control (ATC) system safety, security and efficiency, conformance monitoring must be performed to ensure that aircraft adhere to their assigned clearances. New Decision Support Tools (DSTs), ...

  1. DEVELOPING VISUALIZATION TOOLS FOR THE DESIGN OF AIR TRAFFIC CONTROL EXPERIMENTS

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    for those human factors researchers and practitioners designing experiments. Designing an experimentDEVELOPING VISUALIZATION TOOLS FOR THE DESIGN OF AIR TRAFFIC CONTROL EXPERIMENTS ABSTRACT While, little attention has been paid to developing visualization tools for human factors researchers designing

  2. Solving the additive eigenvalue problem associated to a dynamics of a 2D-traffic system

    E-Print Network [OSTI]

    Nadir Farhi

    2009-08-25

    This is a technical note where we solve the additive eigenvalue problem associated to a dynamics of a 2D-traffic system. The traffic modeling is not explained here. It is available in \\cite{Far08}. It consists of a microscopic road traffic model of two circular roads crossing on one junction managed with the priority-to-the-right rule. It is based on Petri nets and minplus algebra. One of our objectives in \\cite{Far08} was to derive the fundamental diagram of 2D-traffic, which is the relation between the density and the flow of vehicles. The dynamics of this system, derived from a Petri net design, is non monotone and additively homogeneous of degree 1. In this note, we solve the additive eigenvalue problem associated to this dynamics.

  3. Evaluation of traffic operations at diamond interchanges using advanced actuated control 

    E-Print Network [OSTI]

    Koonce, Peter John Vincent

    1998-01-01

    outperforms many of the other strategies because of the flexibility this strategy provides. Specifically, the one controller strategy outperformed the 2-controller strategy because of the reduction of cycle length during periods of low traffic intensity...

  4. Airport surface traffic optimization and simulation in the presence of uncertainties

    E-Print Network [OSTI]

    Lee, Hanbong

    2014-01-01

    Surface traffic congestion causes significant taxi delays and long queues for takeoffs at busy airports, increasing operational and environmental costs. These impacts may be mitigated by optimizing runway and taxiway ...

  5. U-259: RSA BSAFE SSL-C Lets Remote Users Decrypt SSL/TLS Traffic...

    Office of Environmental Management (EM)

    Users Decryption Sessions U-091: cURL Lets Remote Users Decrypt SSLTLS Traffic T-676: Apple iOS Certificate Chain Validation Flaw Lets Certain Remote Users Access or Modify SSL...

  6. High gas prices. Road construction. Plane delays. Traffic jams. Fuel emission.

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    1 High gas prices. Road construction. Plane delays. Traffic jams. Fuel emission. Millions of people interdisciplin- ary nature--focusing on economics, engineering and public policy--presents real-life situations

  7. Mitigating Wind-Induced Fatigue in Steel Traffic Signal Support Structures 

    E-Print Network [OSTI]

    Wieghaus, Kyle T

    2015-05-26

    Traffic signal structures undergo wind-induced vibrations that result in fatigue damage accumulation and reduced service life. Mast arms have failed and required removal while in service. A dual experimental and analytical modeling approach is taken...

  8. Conformance Monitoring Approaches in Current and Future Air Traffic Control Environments

    E-Print Network [OSTI]

    Reynolds, Tom G.

    Conformance monitoring is a core task in Air Traffic Control (ATC) operations to determine whether aircraft are adhering to assigned trajectories. This is important for many reasons, including to ensure that tactical ...

  9. Identification of Communication and Coordination Issues in the U. S. Air Traffic Control System

    E-Print Network [OSTI]

    Davison, Hayley

    Today’s air traffic control system is approaching the point of saturation, as evidenced by increasing delays across the National Airspace System (NAS). There exists an opportunity to enhance NAS efficiency and reduce ...

  10. Driving segments analysis for energy and environmental impacts of worsening traffic

    E-Print Network [OSTI]

    Feng, Wen, Ph. D. Massachusetts Institute of Technology

    2007-01-01

    During the last two decades, traffic congestion in the U.S. has increased from 30% to 67% of peak period travel. Further, current research shows that measures taken within transportation systems, such as adding capacity, ...

  11. Development and evaluation of an arterial adaptive traffic signal control system using reinforcement learning 

    E-Print Network [OSTI]

    Xie, Yuanchang

    2009-05-15

    extensively used in many applications including real-time control. In this dissertation, a systematic comparison between the reinforcement learning control methods and existing adaptive traffic control methods is first presented from the theoretical...

  12. Distributed Measurement-Aware Routing: Striking a Balance between Measurement and Traffic

    E-Print Network [OSTI]

    Chuah, Chen-Nee

    Engineering Chia-Wei Chang, Han Liu Guanyao Huang, Bill Lin, and Chen-Nee Chuah Department of Electrical Engineering, University of California, Davis Abstract--Network-wide traffic measurement is important

  13. A tractable optimization framework for Air Traffic Flow Management addressing fairness, collaboration and stochasticity

    E-Print Network [OSTI]

    Gupta, Shubham, Ph. D. Massachusetts Institute of Technology

    2012-01-01

    We propose a tractable optimization framework for network Air Traffic Flow Management (ATFM) with an eye towards the future. The thesis addresses two issues in ATFM research: a) fairness and collaboration amongst airlines; ...

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

    E-Print Network [OSTI]

    Rexford, Jennifer

    -state routing. Keywords: Interior gateway protocol, traffic engineering, routing, OSPF, optimization, network in a hop-by-hop fashion without memory or end-to-end tunneling. Such simplicity seems to carry a cost

  15. Real-time trajectory optimization and air traffic control simulation for noise abatement approach procedures

    E-Print Network [OSTI]

    Zou, Feng, 1977-

    2004-01-01

    Aircraft noise is a major obstacle to the growth of aviation. This thesis presents an adaptive onboard real-time optimization algorithm and an Air Traffic Control simulation model that can minimize the aircraft approach ...

  16. Multiclass queueing systems in heavy traffic: an asymptotic approach based on distributional and conservation laws

    E-Print Network [OSTI]

    Bertsimas, Dimitris J.

    We propose a new approach to analyze multiclass queueing systems in heavy traffic based on what we consider as fundamental laws in queueing systems, namely distributional and conservation laws. Methodologically, we extend ...

  17. A critical review of principal traffic noise models: Strategies and implications

    SciTech Connect (OSTI)

    Garg, Naveen; Maji, Sagar

    2014-04-01

    The paper presents an exhaustive comparison of principal traffic noise models adopted in recent years in developed nations. The comparison is drawn on the basis of technical attributes including source modelling and sound propagation algorithms. Although the characterization of source in terms of rolling and propulsion noise in conjunction with advanced numerical methods for sound propagation has significantly reduced the uncertainty in traffic noise predictions, the approach followed is quite complex and requires specialized mathematical skills for predictions which is sometimes quite cumbersome for town planners. Also, it is sometimes difficult to follow the best approach when a variety of solutions have been proposed. This paper critically reviews all these aspects pertaining to the recent models developed and adapted in some countries and also discusses the strategies followed and implications of these models. - Highlights: • Principal traffic noise models developed are reviewed. • Sound propagation algorithms used in traffic noise models are compared. • Implications of models are discussed.

  18. Fact #668: March 28, 2011 Time Wasted Due to Traffic Congestion

    Broader source: Energy.gov [DOE]

    According to the Texas Transportation Institute's latest study on traffic congestion, all urban areas have experienced increased congestion in the seventeen-year period from 1982 to 2009, but...

  19. A mesoscopic approach on stability and phase transition between different traffic flow states

    E-Print Network [OSTI]

    Qian, Wei-Liang; Lin, Kai; Machado, Romuel F; Hama, Yogiro

    2015-01-01

    It is understood that congestion in traffic can be interpreted in terms of the instability of the equation of dynamic motion. The evoltuion of a traffic system from an unstable or metastable state to a globally stable state bears a strong resemblance to the phase transition in thermodynamics. In this work, we explore the underlying physics of the traffic system, by examing closely the physical properties and mathematical constraints of the phase transitons therein. By using a mesoscopic approach, one entitles the catastrophe model the same physical content as in the Landau's theory, and uncovers its close connection to the instability and phase transitions. In addition to the one-dimensional configuration space, we generalize our discussion to the higher-dimensional case, where the observed temporal oscillation in traffic flow data is attributed to the curl of a vector field. We exhibit that our model can reproduce main features of the observed fundamental diagram including the inverse-$\\lambda$ shape and the...

  20. Algorithmic and implementation aspects of on-line calibration of Dynamic Traffic Assignment

    E-Print Network [OSTI]

    Huang, Enyang

    2010-01-01

    This thesis compares alternative and proposes new candidate algorithms for the online calibration of Dynamic Traffic Assignment (DTA). The thesis presents two formulations to on-line calibration: 1) The classical statespace ...

  1. A comparison of discrete and flow-based models for air traffic flow management

    E-Print Network [OSTI]

    Phu, Thi Vu

    2008-01-01

    The steady increase of congestion in air traffic networks has resulted in significant economic losses and potential safety issues in the air transportation. A potential way to reduce congestion is to adopt efficient air ...

  2. Smart Cruise Control: An ITS Applica on for Improved Fuel Economy, Safety, and Traffic Conges on

    E-Print Network [OSTI]

    and traffic throughput efficiency of the road system. cta.ornl.gov Contact Tim LaClair Research R&D Center that calculates a planned speed profile that minimizes braking · Vehicle-to-vehicle (V2V) communications

  3. Throughput Optimal Scheduling in the Presence of Heavy-Tailed Traffic

    E-Print Network [OSTI]

    Jagannathan, Krishna Prasanna

    We investigate the tail behavior of the steady-state queue occupancies under throughput optimal scheduling in the presence of heavy-tailed traffic. We consider a system consisting of two parallel queues, served by a single ...

  4. Scheduling strategies to mitigate the impact of bursty traffic in wireless networks

    E-Print Network [OSTI]

    Jagannathan, Krishna Prasanna

    Recent work has shown that certain queue-length based scheduling algorithms, such as max-weight, can lead to poor delays in the presence of bursty traffic. To overcome this

  5. Throughput Optimal Scheduling Over Time-Varying Channels in the Presence of Heavy-Tailed Traffic

    E-Print Network [OSTI]

    Jagannathan, Krishna Prasanna

    We study the problem of scheduling over time varying links in a network that serves both heavy-tailed and light tailed traffic. We consider a system consisting of two parallel queues, served by a single server. One of the ...

  6. GPS/GIS Technologies for Traffic Surveillance and Management: A Testbed Implementation Study

    E-Print Network [OSTI]

    McNally, Michael G.; Marca, James E.; Rindt, Craig R.; Koos, Angela M.

    2002-01-01

    297. Shadewald, J.K. (2000) “GIS Based Model Interfacing:Conceptual Design of a GIS-T Congestion Management System,”UCI-ITS-AS-WP-02-10 GPS/GIS Technologies for Traffic

  7. Multi-step-ahead prediction of MPEG-coded video source traffic using empirical modeling techniques 

    E-Print Network [OSTI]

    Gupta, Deepanker

    2006-04-12

    In the near future, multimedia will form the majority of Internet traffic and the most popular standard used to transport and view video is MPEG. The MPEG media content data is in the form of a time-series representing ...

  8. Traffic and related self-driven many-particle systems Dirk Helbing*

    E-Print Network [OSTI]

    Weeks, Eric R.

    and Traffic, Dresden University of Technology, Andreas-Schubert-Str. 23, D-01062 Dresden, Germany. The pinch effect 1083 F. Cars and trucks 1084 G. Some critical remarks 1084 III. Modeling Approaches

  9. Assessment of older driver understanding of certain traffic control devices in Texas 

    E-Print Network [OSTI]

    Hulett, Stephanie Renee

    2000-01-01

    The purpose of this research was to assess older Texas drivers on their understanding of nine traffic control devices and identify the devices that are misunderstood by people 65 years and older. Additionally, older ...

  10. Heat pump with freeze-up prevention

    DOE Patents [OSTI]

    Ecker, Amir L. (Dallas, TX)

    1981-01-01

    What is disclosed is a heat pump apparatus for conditioning a fluid characterized by a fluid handler and path for circulating the fluid in heat exchange relationship with a refrigerant fluid; at least two refrigerant heat exchangers, one for effecting heat exchange with the fluid and a second for effecting heat exchange between refrigerant and a heat exchange fluid and the ambient air; a compressor for efficiently compressing the refrigerant; at least one throttling valve for throttling liquid refrigerant; a refrigerant circuit; refrigerant; a source of heat exchange fluid; heat exchange fluid circulating device and heat exchange fluid circuit for circulating the heat exchange fluid in heat exchange relationship with the refrigerant; and valves or switches for selecting the heat exchangers and direction of flow of the refrigerant therethrough for selecting a particular mode of operation. The heat exchange fluid prevents freeze up of the second heat exchanger by keeping the temperature above the dew point; and, optionally, provides heat for efficient operation.

  11. An evaluation of the operating effectiveness of a computer-controlled traffic network 

    E-Print Network [OSTI]

    De Steiguer, Allen Louis

    1969-01-01

    AN EVALUATION OF THE OPERATING EFFECTIVENESS OF A COMPUTER-CONTROLLED TRAFFIC NETNORK A Thesis by ALLEN LOUIS DE STEIGUER Submitted to the Graduate College of Tares A&M University in partial fulfillment of the requirement for the degree... of MASTER OF SCIENCE May 1969 Major Subject: Civil Engineering AN EVALUATION OF THE OPERATING EFFECTIVENESS OF A COMPUTER-CONTROLLED TRAFFIC NETWORK A Thesis by ALLEN LOUIS DE STEIGUER Approved as to style and content by: (C an of Committee) (Head...

  12. Reference Workbook: Pollution Prevention Plans

    E-Print Network [OSTI]

    #12;Reference Workbook: Pollution Prevention Plans DOE FRAP 1994-35 Prepared for: I Environment Canada Environmental Protection Fraser Pollution Abatement Office 224 West Esplanade North Vancouver, B Pollution Abatement Office. Environment Canada is not responsible for the content of this report but has

  13. Preventing Asthma in Animal Handlers

    E-Print Network [OSTI]

    in Animal Handlers WARNING! Exposure to animals or animal products in the workplace can cause asthma cause asthma and allergies. The National Institute for Occupational Safety and Health (NIOSH) requestsALERT Preventing Asthma in Animal Handlers January 1998 DHHS (NIOSH) Publication No. 97

  14. Prevention of Sapwood Discoloration in

    E-Print Network [OSTI]

    recorded on both sides of the boards. To verify the effect of the Elder Process on air drying rate, airPrevention of Sapwood Discoloration in Hardwood Lumber June 2005 Sustainable Forestry & Economic that of heartwood and increases color consistency of lumber; reduce drying degrade; and reduction in air drying time

  15. Domain Name System Anomaly Detection and Prevention

    E-Print Network [OSTI]

    Dolev, Danny

    , in order to poison the cache of the DNS server, the hacker must guess the right TID for the request the guessing work much harder. Nevertheless, there might be a situation when the hacker has an access sniff the traffic of the network. In such a case the hacker can generate poison attacks without any

  16. SMART Overlay: Duplicate Traffic Elimination Internet consumes 5% of world-wide energy. The fact is that 90% of Internet traffic is video and mostly

    E-Print Network [OSTI]

    Hua, Kien A.

    SMART Overlay: Duplicate Traffic Elimination Internet consumes 5% of world-wide energy. The fact) and clients. Our solution is a smart overlay network consisting of novel smart routers deployed over the Internet backbone. Each video stream is transmitted from a video source to a client over a series of smart

  17. 1Travel Time Estimation for Traffic Management and Traveler InformationTravel Time Estimation for Traffic Management and Traveler Information Robert L. BertiniRobert L. Bertini

    E-Print Network [OSTI]

    Bertini, Robert L.

    Portland State University Oregon Transportation Research and Education ConsortiumOregon Transportation Research and Education Consortium Transportation Seminar No. 200Transportation Seminar No. 200 ·· April 4, 2008April 4 for Traffic Management and Traveler Information London UndergroundLondon UndergroundLondon Underground #12

  18. Development of Integrated Meso/Microscale Traffic Simulation Software for Testing Fault Detection and Handling in AHS

    E-Print Network [OSTI]

    Horowitz, Roberto

    2004-01-01

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

  19. 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

  20. Semiclassical energy conditions

    E-Print Network [OSTI]

    Martin-Moruno, Prado

    2013-01-01

    We present and develop several nonlinear energy conditions suitable for use in the semiclassical regime. In particular, we consider the recently formulated "flux energy condition" (FEC), and the novel "trace-of-square" (TOSEC) and "determinant" (DETEC) energy conditions. As we shall show, these nonlinear energy conditions behave much better than the classical linear energy conditions in the presence of semiclassical quantum effects. Moreover, whereas the quantum extensions of these nonlinear energy conditions seem to be quite widely satisfied as one enters the quantum realm, analogous quantum extensions are generally not useful for the linear classical energy conditions.

  1. Stormwater Pollution Prevention Plan Prepared by

    E-Print Network [OSTI]

    Eisen, Michael

    Stormwater Pollution Prevention Plan Prepared by: Environment, Health, Safety, and Security .....................................................16 3.0 Potential Sources of Pollution

  2. Preventing Proliferation and Developing Green Technologies |...

    National Nuclear Security Administration (NNSA)

    Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure...

  3. Pollution Prevention and Lean Manufacturing Paper # 360

    E-Print Network [OSTI]

    Pollution Prevention and Lean Manufacturing Paper # 360 Harry W. Edwards and Jason M. Jonkman, the CSU IAC promotes energy conservation, pollution prevention, and productivity improvement. During that generated a total of 467 assessment recommendations (ARs) with pollution prevention benefits. Such benefits

  4. System and method for statistically monitoring and analyzing sensed conditions

    DOE Patents [OSTI]

    Pebay, Philippe P. (Livermore, CA); Brandt, James M. (Dublin, CA), Gentile; Ann C. (Dublin, CA), Marzouk; Youssef M. (Oakland, CA), Hale; Darrian J. (San Jose, CA), Thompson; David C. (Livermore, CA)

    2010-07-13

    A system and method of monitoring and analyzing a plurality of attributes for an alarm condition is disclosed. The attributes are processed and/or unprocessed values of sensed conditions of a collection of a statistically significant number of statistically similar components subjected to varying environmental conditions. The attribute values are used to compute the normal behaviors of some of the attributes and also used to infer parameters of a set of models. Relative probabilities of some attribute values are then computed and used along with the set of models to determine whether an alarm condition is met. The alarm conditions are used to prevent or reduce the impact of impending failure.

  5. System and method for statistically monitoring and analyzing sensed conditions

    DOE Patents [OSTI]

    Pebay, Philippe P. (Livermore, CA); Brandt, James M. (Dublin, CA); Gentile, Ann C. (Dublin, CA); Marzouk, Youssef M. (Oakland, CA); Hale, Darrian J. (San Jose, CA); Thompson, David C. (Livermore, CA)

    2011-01-25

    A system and method of monitoring and analyzing a plurality of attributes for an alarm condition is disclosed. The attributes are processed and/or unprocessed values of sensed conditions of a collection of a statistically significant number of statistically similar components subjected to varying environmental conditions. The attribute values are used to compute the normal behaviors of some of the attributes and also used to infer parameters of a set of models. Relative probabilities of some attribute values are then computed and used along with the set of models to determine whether an alarm condition is met. The alarm conditions are used to prevent or reduce the impact of impending failure.

  6. System and method for statistically monitoring and analyzing sensed conditions

    DOE Patents [OSTI]

    Pebay, Philippe P. (Livermore, CA); Brandt, James M. (Dublin, CA); Gentile, Ann C. (Dublin, CA); Marzouk, Youssef M. (Oakland, CA); Hale, Darrian J. (San Jose, CA); Thompson, David C. (Livermore, CA)

    2011-01-04

    A system and method of monitoring and analyzing a plurality of attributes for an alarm condition is disclosed. The attributes are processed and/or unprocessed values of sensed conditions of a collection of a statistically significant number of statistically similar components subjected to varying environmental conditions. The attribute values are used to compute the normal behaviors of some of the attributes and also used to infer parameters of a set of models. Relative probabilities of some attribute values are then computed and used along with the set of models to determine whether an alarm condition is met. The alarm conditions are used to prevent or reduce the impact of impending failure.

  7. Pollution Prevention Program: Technology summary

    SciTech Connect (OSTI)

    Not Available

    1994-02-01

    The Department of Energy (DOE) has established a national Research, Development, Demonstration, Testing, and Evaluation (RDDT&E) Program for pollution prevention and waste minimization at its production plants During FY89/90 the Office of Environmental Restoration and Waste Management (EM), through the Office of Technology Development (OTD), established comprehensive, pollution prevention technical support programs to demonstrate new, environmentally-conscious technology for production processes. The RDDT&E program now entails collaborative efforts across DOE. The Pollution Prevention Program is currently supporting three major activities: The DOE/US Air Force Memorandum of Understanding Program is a collaborative effort to utilize the combined resources of DOE and the Department of Defense, eliminate duplication of effort in developing technologies, and to facilitate technology solutions aimed at reducing waste through process modification, material substitution or recycling. The Waste Component Recycle, Treatment and Disposal Integrated Demonstration (WeDID) will develop recycle, treatment, and disposal processes and associated technologies for use in the dismantlement of non-nuclear weapons components, to support US arms treaties and policies. This program will focus on meeting all security and regulatory requirements (with additional benefit to the commercial electronics industry). The Environmentally Conscious Manufacturing Integrated Demonstration (ECMID) will effectively implement ECM technologies that address both the needs of the DOE Complex and US electronics industry, and encourage strong interaction between DOE and US industry. The ECMID will also develop life cycle analysis tools that will aid decisionmakers in selecting the optimum process based on the tradeoffs between cost an environmental impact.

  8. Hog Cholera and Its Prevention

    E-Print Network [OSTI]

    Marsteller, R. P.

    1913-01-01

    TEXAS AGRICULTURAL EXPERIMENT STATIONS BULLETIN NO. 157 APRIL, 1913 HOG CHOLERA AND ITS PREVENTION BY R. P. MARSTELLER POSTOFFICE COLLEGE STATION, BRAZOS COUNTY, TEXAS AUSTIN, T E X A S V o n B o e c k m a n n - J o n e s Co., P r i n t e r... of experimentation with Hog Cholera and the use of Hog Cholera Serum. The details Of the experi? ments have been purposely omitted on account of the demand for a con? cise, practical discussion of this subject. We expect to publish the de? tailed experiments in a...

  9. Sandia National Laboratories: Pollution Prevention

    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 RoomPreservation ofAlbuquerque Albuquerque Housing EducationImageExpertise:Pollution Prevention

  10. Environmental evaluation of municipal waste prevention

    SciTech Connect (OSTI)

    Gentil, Emmanuel C.; Gallo, Daniele [Department of Environmental Engineering, Building 115, Technical University of Denmark, DK-2800 Kongens Lyngby (Denmark); Christensen, Thomas H., E-mail: thho@env.dtu.dk [Department of Environmental Engineering, Building 115, Technical University of Denmark, DK-2800 Kongens Lyngby (Denmark)

    2011-12-15

    Highlights: > Influence of prevention on waste management systems, excluding avoided production, is relatively minor. > Influence of prevention on overall supply chain, including avoided production is very significant. > Higher relative benefits of prevention are observed in waste management systems relying mainly on landfills. - Abstract: Waste prevention has been addressed in the literature in terms of the social and behavioural aspects, but very little quantitative assessment exists of the environmental benefits. Our study evaluates the environmental consequences of waste prevention on waste management systems and on the wider society, using life-cycle thinking. The partial prevention of unsolicited mail, beverage packaging and food waste is tested for a 'High-tech' waste management system relying on high energy and material recovery and for a 'Low-tech' waste management system with less recycling and relying on landfilling. Prevention of 13% of the waste mass entering the waste management system generates a reduction of loads and savings in the waste management system for the different impacts categories; 45% net reduction for nutrient enrichment and 12% reduction for global warming potential. When expanding our system and including avoided production incurred by the prevention measures, large savings are observed (15-fold improvement for nutrient enrichment and 2-fold for global warming potential). Prevention of food waste has the highest environmental impact saving. Prevention generates relatively higher overall relative benefit for 'Low-tech' systems depending on landfilling. The paper provides clear evidence of the environmental benefits of waste prevention and has specific relevance in climate change mitigation.

  11. High-speed and high-fidelity system and method for collecting network traffic

    DOE Patents [OSTI]

    Weigle, Eric H. (Los Alamos, NM)

    2010-08-24

    A system is provided for the high-speed and high-fidelity collection of network traffic. The system can collect traffic at gigabit-per-second (Gbps) speeds, scale to terabit-per-second (Tbps) speeds, and support additional functions such as real-time network intrusion detection. The present system uses a dedicated operating system for traffic collection to maximize efficiency, scalability, and performance. A scalable infrastructure and apparatus for the present system is provided by splitting the work performed on one host onto multiple hosts. The present system simultaneously addresses the issues of scalability, performance, cost, and adaptability with respect to network monitoring, collection, and other network tasks. In addition to high-speed and high-fidelity network collection, the present system provides a flexible infrastructure to perform virtually any function at high speeds such as real-time network intrusion detection and wide-area network emulation for research purposes.

  12. Intra-cellular traffic: bio-molecular motors on filamentary tracks

    E-Print Network [OSTI]

    Debashish Chowdhury; Aakash Basu; Ashok Garai; Philip Greulich; Katsuhiro Nishinari; Andreas Schadschneider; Tripti Tripathi

    2008-01-15

    Molecular motors are macromolecular complexes which use some form of input energy to perform mechanical work. The filamentary tracks, on which these motors move, are made of either proteins (e.g., microtubules) or nucleic acids (DNA or RNA). Often, many such motors move simultaneously on the same track and their collective properties have superficial similarities with vehicular traffic on highways. The models we have developed provide ``unified'' description: in the low-density limit, a model captures the transport properties of a single motor while, at higher densities the same model accounts for the collective spatio-temporal organization of interacting motors. By drawing analogy with vehicular traffic, we have introduced novel quantities for characterizing the nature of the spatio-temporal organization of molecular motors on their tracks. We show how the traffic-like intracellular collective phenomena depend on the mechano-chemistry of the corresponding individual motors.

  13. Traffic Incident Analysis on Urban Arterials Using Extended Spectral Envelope Method

    E-Print Network [OSTI]

    Yang, Zhen-zhen; Gao, Zi-you; Sun, Ya-fu; Guo, Sheng-min

    2015-01-01

    A traffic incident analysis method based on extended spectral envelope (ESE) method is presented to detect the key incident time. Sensitivity analysis of parameters (the length of time window, the length of sliding window and the study period) are discussed on four real traffic incidents in Beijing. The results show that: (1) Moderate length of time window got the best accurate in detection. (2) The shorter the sliding window is, the more accurate the key incident time are detected. (3) If the study period is too short, the end time of an incident cannot be detected. Empirical studies show that the proposed method can effectively discover the key incident time, which can provide a theoretic basis for traffic incident management.

  14. Pollution prevention cost savings potential

    SciTech Connect (OSTI)

    Celeste, J.

    1994-12-01

    The waste generated by DOE facilities is a serious problem that significantly impacts current operations, increases future waste management costs, and creates future environmental liabilities. Pollution Prevention (P2) emphasizes source reduction through improved manufacturing and process control technologies. This concept must be incorporated into DOE`s overall operating philosophy and should be an integral part of Total Quality Management (TQM) program. P2 reduces the amount of waste generated, the cost of environmental compliance and future liabilities, waste treatment, and transportation and disposal costs. To be effective, P2 must contribute to the bottom fine in reducing the cost of work performed. P2 activities at LLNL include: researching and developing innovative manufacturing; evaluating new technologies, products, and chemistries; using alternative cleaning and sensor technologies; performing Pollution Prevention Opportunity Assessments (PPOAs); and developing outreach programs with small business. Examples of industrial outreach are: innovative electroplating operations, printed circuit board manufacturing, and painting operations. LLNL can provide the infrastructure and technical expertise to address a wide variety of industrial concerns.

  15. A real-time GIS for the analysis of a traffic system C. Claramunt, E. Peytchev and A. Bargiela

    E-Print Network [OSTI]

    Bargiela, Andrzej

    A real-time GIS for the analysis of a traffic system C. Claramunt, E. Peytchev and A. Bargiela describes a prototype development of a new system for the integration of real-time traffic data within a GIS in which systems are designed and used in many application fields. Geographical Information Systems (GIS

  16. Eighth USA/Europe Air Traffic Management Research and Development Seminar (ATM2009) Application of Reinforcement Learning Algorithms

    E-Print Network [OSTI]

    Eighth USA/Europe Air Traffic Management Research and Development Seminar (ATM2009) Application Ganesan,Ph.D., Lance Sherry, Ph.D. Center for Air Transportation Systems Research George Mason University for the development of a more efficient air traffic management system. The dynamic nature of operations in the NAS

  17. LED Traffic Light as a Communications Device Grantham Pang, Thomas Kwan, Chi-Ho Chan, Hugh Liu.

    E-Print Network [OSTI]

    Pang, Grantham

    :http://www.eee.hku.hk/~gpang Abstract The visible light from an LED (light emitting diode) traffic light can be modulated and encoded on the description of an audio information system made up of high brightness, visible light emitting diodes (LEDs messages 1. Introduction Recently, high intensity light emitting diodes for traffic signals are available

  18. Performance of TCP over ABR with Long-Range Dependent VBR Background Traffic over Terrestrial and Satellite ATM networks

    E-Print Network [OSTI]

    Jain, Raj

    State University Department of Computer and Information Science Columbus, OH 43210-1277 E MPEG-2 video sources traffic. The actual traffic for the model is generated using fast-fourier transform of the fractional gaussian noise sequence. Our model of com- pressed video sources bears

  19. Abstract--In this paper, we study the tradeoff between two important traffic engineering objectives: load balance and energy

    E-Print Network [OSTI]

    Krovi, Venkat

    : load balance and energy efficiency. Although traditional commonly used multi-objective optimization-objective optimization problems. Index Terms--Traffic Engineering; Load Balance; Energy Efficiency; Nash Bargaining between two important traffic engineering objectives: load balance and energy efficiency. Load balance

  20. Internet growth: Is there a "Moore's Law" for data traffic? K. G. Coffman and A. M. Odlyzko

    E-Print Network [OSTI]

    Odlyzko, Andrew M.

    Internet growth: Is there a "Moore's Law" for data traffic? K. G. Coffman and A. M. Odlyzko AT Internet traffic is approximately doubling each year. This growth rate applies not only to the entire Internet, but to a large range of individual institutions. For a few places we have records going back

  1. Getting Ready for the Challenges for the Air Traffic Management for Unmanned Aerial Systems (UAS) C.W. Johnson,

    E-Print Network [OSTI]

    Johnson, Chris

    as EUROCONTROL's Spec-0102 on the Use of Military Unmanned Aerial Vehicles as Operational Air Traffic Outside-1- Getting Ready for the Challenges for the Air Traffic Management for Unmanned Aerial Systems's 08-01: Unmanned Aircraft Systems Operations in the U. S. National Airspace System, as well

  2. Hybrid Control in Air Traffic Management Systems \\Lambda S. Sastry, G. Meyer y , C. Tomlin, J. Lygeros, D. Godbole and G. Pappas

    E-Print Network [OSTI]

    Pappas, George J.

    Hybrid Control in Air Traffic Management Systems \\Lambda S. Sastry, G. Meyer y , C. Tomlin, J Center, we have be­ gun the study of hierarchical, hybrid control systems in the framework of air traffic. Technological advances that make a more advanced air traffic control system a reality include the availability

  3. Creating a Virtual Training Environment for Traffic Accident Investigation for the Dubai Police Force

    E-Print Network [OSTI]

    Maddock, Steve

    Creating a Virtual Training Environment for Traffic Accident Investigation for the Dubai Police in the Dubai police force. The second part also serves to evaluate the scalability of the architecture created. They also reveal that GSA adds little development overhead. The ability of GSA to scale to real world

  4. 6C2R-2.009. Parking and Traffic Regulations. (1)-(2) No Change

    E-Print Network [OSTI]

    McQuade, D. Tyler

    illegally on University property to include but not limited to: no permit in restricted lots, parking for space, parking in a restricted or reserved lot, improper parking in a loading zone, parking on lawns1 6C2R-2.009. Parking and Traffic Regulations. (1)- (2) No Change (3) Parking Fees and Penalties

  5. Adaptive Energy Saving Scheme for Downlink Elastic Traffic in Wireless Networks

    E-Print Network [OSTI]

    Bahk, Saewoong

    Adaptive Energy Saving Scheme for Downlink Elastic Traffic in Wireless Networks Jongwook Lee, we propose several adaptive energy saving schemes that consider throughput and energy saving simultaneously. The proposed schemes are designed for an efficient tradeoff between throughput and energy saving

  6. Drowsy Transmission: Physical Layer Energy Optimization for Transmitting Random Packet Traffic

    E-Print Network [OSTI]

    Zhong, Lin

    the energy-saving opportunities in the idle periods through power management. In this work, we seek1 Drowsy Transmission: Physical Layer Energy Optimization for Transmitting Random Packet Traffic Husheng Li , Lin Zhong and Kun Zheng Dept. of Electrical Engineering and Computer Science, The University

  7. Dynamic DRX Adaptation Algorithm for Elastic Traffic in UMTS Networks Jongwook LeeO

    E-Print Network [OSTI]

    Bahk, Saewoong

    ) networks. The proposed algorithm is designed to efficiently tradeoff throughput for energy saving when mode operation to save energy that exploits the bursty characteristic of the traffic. By periodically) is employed. DRX is an energy saving mechanism for mobile stations that operates when they receive packets

  8. AN -NASH EQUILIBRIUM WITH HIGH PROBABILITY FOR STRATEGIC CUSTOMERS IN HEAVY TRAFFIC

    E-Print Network [OSTI]

    Atar, Rami

    AN -NASH EQUILIBRIUM WITH HIGH PROBABILITY FOR STRATEGIC CUSTOMERS IN HEAVY TRAFFIC RAMI ATAR of an -Nash equilibrium with probability approaching 1. On way to proving this result, new diffusion limit customers; -Nash equilibrium with high probability 1. INTRODUCTION Equilibrium behavior of strategic

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

    E-Print Network [OSTI]

    Bressan, Alberto

    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. Key words: Scalar conservation law

  10. Ruler: high-speed traffic classification and rewriting using regular expressions

    E-Print Network [OSTI]

    Bos, Herbert

    Ruler: high-speed traffic classification and rewriting using regular expressions ­ Technical Report and usefulness of the anonymised data, flexibility is essential. For this purpose, Ruler allows matching privacy and security concerns on the one hand, and the information needs of the network monitoring

  11. Traffic Signal Systems The aim of this research was to develop operational strategies for inte-

    E-Print Network [OSTI]

    Tian, Zong Z.

    PART 2 Traffic Signal Systems #12;The aim of this research was to develop operational strategies. The key elements of the integration system and its operations include a proposed enhanced detection system metering could eliminate the deficiencies of the current independent system operations. The purpose

  12. Their share: diversity and disparity in IP traffic Andre Broido1

    E-Print Network [OSTI]

    California at San Diego, University of

    , prefixes, policy atoms and ASes, similar to the oft-quoted 80/20 split (e.g., 80% of vol- ume in 20 models for size dis- tributions such as Pareto/Zipf. We find that AS traffic volumes (by byte) are top-heavy and can only be approximated by Pareto with = 0.5, and that empirical distributions are often close

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

    E-Print Network [OSTI]

    Fields, Matthew James

    2008-10-10

    feature space; this is done to minimize the experimental set to a matrix of desirable attributes from the vehicles on the roadway. The application is to identify if this data can be readily parsed into four distinct traffic states; in this case, the state...

  14. High-Level Architectures for Contingency Planning in Air Traffic Management Chris. W. Johnson, DPhil;

    E-Print Network [OSTI]

    Johnson, Chris

    Contingency Life-Cycle Figure 1 provides a high level view of five different stages in the contingency `lifeHigh-Level Architectures for Contingency Planning in Air Traffic Management Chris. W. Johnson Over the last eighteen months, a project team from the European Organization for the Safety of Air

  15. Polling models with renewal arrivals: a new method to derive heavy-traffic asymptotics

    E-Print Network [OSTI]

    van der Mei, Rob

    Polling models with renewal arrivals: a new method to derive heavy-traffic asymptotics R.D. van der-time distributions, zero switch-over times, gated service at each queue, and with gen- eral renewal arrival processes at each of the queues. For this classical model, we propose a new method to derive closed-form expressions

  16. 6C2R-2.009. Parking and Traffic Regulations. (1) General Information.

    E-Print Network [OSTI]

    McQuade, D. Tyler

    ;4 dispensers. All vehicles must be parked with the flow of traffic. (b) - (g) No Change (h) Motor scooter, mopeds and motorcycle decals designed and intended to be visibly affixed to a motor scooter or motorcycle shall be visibly affixed to the license plate on the registered vehicle. Motor scooters, mopeds

  17. Impact of Asymmetric Traffic Densities on Delay Tolerant Vehicular Ad Hoc Networks

    E-Print Network [OSTI]

    is considered as an enabler for driverless cars of the future [1]. Presently, there is a strong need to enable-neighbor communication, for safety appli- cations, and multihop communications for message propagation. Due to frequent vehicular communication for applications such as safety messaging, traffic and congestion monitoring

  18. Traffic restrictions associated with the Sino-African summit: Reductions of NOx detected from space

    E-Print Network [OSTI]

    Boersma, Folkert

    Traffic restrictions associated with the Sino-African summit: Reductions of NOx detected from space restrictions associated with the Sino-African summit: Reductions of NOx detected from space, Geophys. Res. Lett show in what follows that a reduction in NOx emissions was in fact observed by the Ozone Monitoring

  19. Low-Cost Traffic Analysis of Tor Steven J. Murdoch and George Danezis

    E-Print Network [OSTI]

    Danezis, George

    .Murdoch,George.Danezis}@cl.cam.ac.uk Abstract Tor is the second generation Onion Router, supporting the anonymous transport of TCP streams over, available for public use, already has 50 nodes acting as onion routers (as of November 2004). Tor aimsLow-Cost Traffic Analysis of Tor Steven J. Murdoch and George Danezis University of Cambridge

  20. A multi-level approach to the integration of traffic data within GIS

    E-Print Network [OSTI]

    Bargiela, Andrzej

    A multi-level approach to the integration of traffic data within GIS Kalin Penev, Christophe systems are designed and used in many application fields. Geographical Information Systems (GIS) have now challenges for GIS is to generate a corporate resource whose full potential will be achieved by making

  1. Performance of Shared Buffer Switches Under NonUniform Traffic Pattern

    E-Print Network [OSTI]

    Atiquzzaman, Mohammed

    Performance of Shared Buffer Switches Under Non­Uniform Traffic Pattern Mahmoud Saleh Mohammed@cs.latrobe.edu.au ABSTRACT ATM switches based on shared buffering are known to have better performance and buffer uti­ lization than input or output queued switches. Al­ though shared buffer switches do not suffer from head

  2. Asymptotic Performance Limits of Switches with Buffered Crossbars supporting Multicast Traffic

    E-Print Network [OSTI]

    Asymptotic Performance Limits of Switches with Buffered Crossbars supporting Multicast Traffic.leonardi@polito.it Abstract-- Input queued switches exploiting buffered crossbars (CICQ switches) are widely considered very promising architec- tures that outperform input queued (IQ) switches with bufferless switching fabrics both

  3. An accurate performance model of shared buffer ATM switches under hot spot traffic

    E-Print Network [OSTI]

    Atiquzzaman, Mohammed

    An accurate performance model of shared buffer ATM switches under hot spot traffic M. Saleha , M Abstract Asynchronous transfer mode (ATM) switches based on shared buffering are known to have better performance and buffer utilization than input or output queued switches. Shared buffer switches do not suffer

  4. Assessing the impacts of military vehicle traffic on natural areas. Introduction to the special

    E-Print Network [OSTI]

    Fehmi, Jeffrey S.

    Assessing the impacts of military vehicle traffic on natural areas. Introduction to the special issue and review of the relevant military vehicle impact literature Alan B. Anderson a,*, Antonio J, and the International Society for Terrain-Vehicle Systems cosponsored a symposium titled ``Assessing the Impacts

  5. 1. Drill down of the object reveals the traffic flow of the host/network

    E-Print Network [OSTI]

    Blustein, J.

    1. Drill down of the object reveals the traffic flow of the host/network 2. Each bar is given and the positions of the objects in the work space. This represents a sub-network. We can also choose to drill down

  6. Hiding Traffic with Camouflage: Minimizing Message Delay in the Smart Grid under Jamming

    E-Print Network [OSTI]

    Wang, Wenye

    Hiding Traffic with Camouflage: Minimizing Message Delay in the Smart Grid under Jamming Zhuo Lu}@ncsu.edu Email: cliff.wang@us.army.mil Abstract--The smart grid is an emerging cyber-physical system that integrates power infrastructures with information technolo- gies. In the smart grid, wireless networks have

  7. The Smart Tachograph Individual Accounting of Traffic Costs and its Implications

    E-Print Network [OSTI]

    , several costs caused by road traffic may either be only roughly approximated, or cannot be clearly. Ecology-oriented vehicle taxes, for example, typically depend on the vehicle's type, more polluting vehicles having to pay a higher tax. Such taxes fall short of fulfilling their ecological aim, however

  8. Utilizing Real-World Transportation Data for Accurate Traffic Prediction Bei Pan, Ugur Demiryurek, Cyrus Shahabi

    E-Print Network [OSTI]

    Shahabi, Cyrus

    important commodities of the 21st cen- tury are time and energy; traffic congestion wastes both. Several-pavement loop detectors as well as police reports on accidents and events. Our current system acquires, Cyrus Shahabi Integrated Media System Center University of Southern California Los Angeles, United

  9. Understanding the Interaction between Safety Management and the `Can Do' Attitude in Air Traffic Management

    E-Print Network [OSTI]

    Johnson, Chris

    . This notation was pioneered by the US Department of Energy and is one of several alternate formalisms that might factors and managerial issues in the causes of this accident. In particular, we show how problems technical infrastructure. Keywords Accident investigation, ECF modeling, Air Traffic Management

  10. Harpoon: A Flow-Level Traffic Generator for Router and Network Tests

    E-Print Network [OSTI]

    Barford, Paul

    Descriptors C.2.6 [Computer-Communicaton Networks]: Internet- working--Routers; C.4 [Performance of Systems, Performance Keywords Traffic Generation, Network Flows 1. INTRODUCTION The network research community has a persistent need to evaluate new algorithms, systems and protocols using tools that create a range of test

  11. TRANSPLANTATION Total body irradiation causes profound changes in endothelial traffic molecules

    E-Print Network [OSTI]

    von Andrian, Ulrich H.

    TRANSPLANTATION Total body irradiation causes profound changes in endothelial traffic molecules irradiation (TBI) changes the molecular mechanisms by which murine HPCs from fetal livers (FL) interact not re- quired. TBI increased the frequency of sticking FL HPC. This irradiation-induced additional

  12. A Unified Framework for Multipath Routing for Unicast and Multicast Traffic

    E-Print Network [OSTI]

    Shayman, Mark A.

    be utilized more efficiently than with current approaches to satisfy the rate requirements. Traffic mapping to be estimated. Multiple paths are provided between a source and a destination using application-layer overlay approximation and utilizes only noisy measurements collected and reported to the sources, using an overlay

  13. Let's Stay Together: Towards Traffic Aware Virtual Machine Placement in Data Centers

    E-Print Network [OSTI]

    Wu, Jie

    their performance and efficiency. Index Terms--Clouds, cost optimization, data center, subset- sum problem, vector, effective placement of VMs is needed to reduce the network cost in cloud data centers. The cost is one of the major concerns for the cloud providers. In addition to the cost caused by network traffics (N-cost

  14. Optimal Traffic-Oblivious Energy-Aware Routing For Multihop Wireless Networks

    E-Print Network [OSTI]

    Holte, Robert

    Optimal Traffic-Oblivious Energy-Aware Routing For Multihop Wireless Networks Yuxi Li Janelle Harms, harms, holte}@cs.ualberta.ca Abstract-- Energy efficiency is an important issue in multihop wireless a routing scheme to minimize the maximum energy utilization of a multihop wireless network with weak

  15. Macroscopic traffic models from microscopic car-following models H. K. Lee,1

    E-Print Network [OSTI]

    Kim, Doochul

    Macroscopic traffic models from microscopic car-following models H. K. Lee,1 H.-W. Lee,2 and D. Kim microscopic car-following models via a coarse-graining procedure. The method is first demonstrated. The derivation is also extended to general car-following models. DOI: 10.1103/PhysRevE.64.056126 PACS number

  16. Traffic Engineering for Multiple Spanning Tree Protocol in Large Data Centers

    E-Print Network [OSTI]

    Bonaventure, Olivier

    Traffic Engineering for Multiple Spanning Tree Protocol in Large Data Centers HO Trong Viet, Yves centers have been growing significantly during the last years. Most data centers rely on switched Ethernet variants of it) to select the links that are used to forward packets inside the data center. In this paper

  17. An FPGA Bridge Preserving Traffic Quality of Service for On-Chip Network-Based Systems

    E-Print Network [OSTI]

    An FPGA Bridge Preserving Traffic Quality of Service for On-Chip Network-Based Systems Ashkan with their own NoC, and each of which is implemented on a separate FPGA board. Multiple SoC ASICs can be bridged the required quality of service (QoS). In this paper, we investigate bridging schemes at different levels

  18. Avoiding the Rush Hours: WiFi Energy Management via Traffic Isolation

    E-Print Network [OSTI]

    Shihada, Basem

    Avoiding the Rush Hours: WiFi Energy Management via Traffic Isolation Justin Manweiler Duke in a proportional decrease in battery life. We design SleepWell, a system that achieves energy efficiency by evading to turn off the de- vice whenever beneficial. While WiFi energy efficiency has progressively improved

  19. Building Evidence for Active Travel: Counting and Modeling Non-motorized Traffic

    E-Print Network [OSTI]

    Bertini, Robert L.

    Building Evidence for Active Travel: Counting and Modeling Non-motorized Traffic #12;Scope of Talk & maintenance · Test hypotheses and build theory #12;Multi-use Trails in Indianapolis #12;Min Max Mean Week Days B MN* Active Infrared MM MN* Passive infrared P, MM MN MM MN Pressure Pads P P, B? Pneumatic tubes B

  20. Influence of vehide traffic reduction in a town centre on BTX polhition Isabelle ZDANEVITCH a

    E-Print Network [OSTI]

    Boyer, Edmond

    et Pollution de l'Air", Avignon : France (2000)" #12;1. Objectives It seems obvious that with limited centres. According to that scheine, WERIS, m association wifh the local Air Qualily Moniforing Nefwork A1 clearly indicates traffic äs the main source of atmospheric pollution. Measured benzene levels over the 3

  1. Design of a Reliable Communication System for Grid-Style Traffic Control Junghoon Lee

    E-Print Network [OSTI]

    Chandy, John A.

    communication scheme for the traffic control sys- tem built upon a wireless process control protocol, aiming into diverse field sys- tems. Among these, HART (Highway Addressable Remote Transducer) is one of the most outstanding protocols for process control[2]. Its master/slave mechanism provides timely and predictable

  2. IEEE INFOCOM 2001 Behavior of TCP-like elastic traffic at a buffered

    E-Print Network [OSTI]

    Schwefel, Hans-Peter

    IEEE INFOCOM 2001 Behavior of TCP-like elastic traffic at a buffered bottleneck router Hans by a stochastic process. The essential behavior of TCP-like flow-control mechanisms is captured in the analytic to existing congestion, the throttling mechanism is only activated when the buffer-occupancy at the bottleneck

  3. On the Feasibility of UMTS-based Traffic Information Systems Christoph Sommer,a

    E-Print Network [OSTI]

    Breu, Ruth

    On the Feasibility of UMTS-based Traffic Information Systems Christoph Sommer,a , Armin Schmidtb. Tel.: +49 9131 85-27993, Fax: -27409 Email addresses: christoph.sommer@informatik.uni-erlangen.de (Christoph Sommer), aschmidt@lnt.de (Armin Schmidt), chenyi@comnets.uni-bremen.de (Yi Chen), german

  4. Kernel Level Energy-Efficient 3G Background Traffic Shaper for Android Smartphones

    E-Print Network [OSTI]

    Kernel Level Energy-Efficient 3G Background Traffic Shaper for Android Smartphones Ekhiotz Jon the Android platform, and measures its energy footprint. The total energy savings of our implementation range study. Index Terms--transmission energy; 3G; kernel; Android I. INTRODUCTION Mobile users have been

  5. Analysis of traffic corridor impacts from the introduction of the new Athens Metro system

    E-Print Network [OSTI]

    Papanicolaou, Vassilis

    dependence and a degrading quality of life in many large cities. This paper concentrates on evaluating choice 1. Introduction Traffic congestion, automobile dependence, car ownership, emissions pollution urban centers. In an effort to address some of these problems, many cities have invested sizeable

  6. Simulation of exhaust gas pollution within an eventdriven multimodal dynamic traffic model

    E-Print Network [OSTI]

    Toint, Philippe

    . The second is the temporal evolution of the pollution level, both globally and at the scale of specific city1 Simulation of exhaust gas pollution within an event­driven multimodal dynamic traffic model E development of the last decade, and the quality of life in cities is part of these emerging and widely spread

  7. Stochasticity and traffic jams in the transcription of ribosomal RNA: Intriguing role of termination and antitermination

    E-Print Network [OSTI]

    Stefan Klumpp; Terence Hwa

    2008-11-19

    In fast growing bacteria, ribosomal RNA (rRNA) is required to be transcribed at very high rates to sustain the high cellular demand on ribosome synthesis. This results in dense traffic of RNA polymerases (RNAP). We developed a stochastic model, integrating results of single-molecule and quantitative in vivo studies of E. coli, to evaluate the quantitative effect of pausing, termination, and antitermination on rRNA transcription. Our calculations reveal that in dense RNAP traffic, spontaneous pausing of RNAP can lead to severe "traffic jams", as manifested in the broad distribution of inter-RNAP distances and can be a major factor limiting transcription and hence growth. Our results suggest the suppression of these pauses by the ribosomal antitermination complex to be essential at fast growth. Moreover, unsuppressed pausing by even a few non-antiterminated RNAPs can already reduce transcription drastically under dense traffic. However, the termination factor Rho can remove the non-antiterminated RNAPs and restore fast transcription. The results thus suggest an intriguing role by Rho to enhance rather than attenuate rRNA transcription.

  8. A Traffic-Aware Street Lighting Scheme for Smart Cities using Autonomous Networked Sensors

    E-Print Network [OSTI]

    1 A Traffic-Aware Street Lighting Scheme for Smart Cities using Autonomous Networked Sensors Sei: Adaptive street lighting, smart streetlights, smart cities, networked sensing 1. Introduction a sustainable and liveable city, the concept of Smart Cities has been proposed. Key to this vision

  9. The impacts of molecular motor traffic jams Jennifer L. Ross1

    E-Print Network [OSTI]

    Ross, Jennifer

    . So, too, in the cell, much time and energy is expended on shuttling organ- elles, protein complexes, and mRNA, called "cargos," from point A to point B. We know that vehicle traffic slows down when roads to cause alternative stepping in a hand-over-hand style (Fig. 1A) (4, 5). Numerous biophysical studies have

  10. VTrack: Accurate, Energy-Aware Road Traffic Delay Estimation Using Mobile Phones

    E-Print Network [OSTI]

    the bat- tery quickly. In these cases, VTrack can use alternative, less energy-hungry but noisier sensorsVTrack: Accurate, Energy-Aware Road Traffic Delay Estimation Using Mobile Phones Arvind Thiagarajan for travel time estimation using this sensor data that addresses two key challenges: energy consumption

  11. Stress Testing Traffic to Infer Its Legitimacy Nick Duffield and Balachander Krishnamurthy

    E-Print Network [OSTI]

    Greenberg, Albert

    Stress Testing Traffic to Infer Its Legitimacy Nick Duffield and Balachander Krishnamurthy AT. The methodology can potentially be applied across a range of protocol levels. The key idea is to stress test- pairments induced by stress testing must not cause per- formance degradation to exceed acceptable limits, e

  12. Scheduling Data Collection with Dynamic Traffic Patterns in Wireless Sensor Networks

    E-Print Network [OSTI]

    Tang, Xueyan

    collection. Experimental results using real- world data traces show that, compared with existing schedules and time efficiency of sensor data collection with dynamic traffic patterns. I. INTRODUCTION Energy networks. Energy efficiency concerns the amount of energy spent in data collection. Since sensor nodes

  13. Optimization-based queue estimation on an arterial traffic link with measurement uncertainties

    E-Print Network [OSTI]

    Horowitz, Roberto

    ABSTRACT Advanced monitoring and control of arterial road traffic network operations requires accurate constraints, image processing accuracy, and maintenance costs. Several proposed onramp queue estimation), or by introducing heuristic volume adjustment mechanisms (6, 7) or statistical analyses (10). In (5), vehicle re

  14. Passive Online Detection of 802.11 Traffic Using Sequential Hypothesis Testing

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    of wireless hosts or install a wireless router and becomes a wireless host. In this paper, we develop two at the aggregation point and can detect wireless traffic that is behind NAT boxes or user-installed wireless routers at a monitoring point. These algorithms have a number of applications in real-time wireless LAN management

  15. Shield: DoS Filtering Using Traffic Deflecting Erik Kline Alexander Afanasyev Peter Reiher

    E-Print Network [OSTI]

    California at Los Angeles, University of

    Shield: DoS Filtering Using Traffic Deflecting Erik Kline Alexander Afanasyev Peter Reiher as secure on-demand shields for any node on the Internet. The proposed method is based on rerouting any packet addressed to a protected autonomous system (AS) through an intermediate filter- ing node--a shield

  16. Multi-Layer Network Recovery: Avoiding Traffic Disruptions against Fiber Failures

    E-Print Network [OSTI]

    Ortega, Eusebi Calle

    Multi-Layer Network Recovery: Avoiding Traffic Disruptions against Fiber Failures Anna Urra, Eusebi 17071, Spain Abstract. The next generation backbone networks, optical IP/MPLS networks, enable increasingly higher volumes of information to be trans- ported. In this network architecture, a fiber failure

  17. Throughput and Delay Analysis of Interrupt-Driven Kernels under Poisson and Bursty Traffic

    E-Print Network [OSTI]

    Salah, Khaled Hamed

    . Salah** and K. Elbadawi Department of Information and Computer Science King Fahd University of Petroleum overhead caused by the incoming traffic. In particular, excessive latency and significant degradation, Modeling and Analysis, Performance Evaluation. 1. Introduction The arrival rate for incoming packets

  18. ForPeerReview Traffic Congestion and Air Pollution Exposure for Motorists

    E-Print Network [OSTI]

    Bertini, Robert L.

    and dispersion models. The intent is to isolate and compare the influences of congested traffic characteristics), and to a lesser extent through increased concentrations (exposure intensity). The effects of varying wind can increase the emissions rates of air pollutants from motor vehicles, degrading urban air quality

  19. Advanced Air Traffic Automation: A Case Study in Distributed Decentralized Control ?

    E-Print Network [OSTI]

    Pappas, George J.

    ,gpappas,janka,lygeros,sastry@eecs.berkeley.edu Abstract. In this survey paper, we present some of the issues in de­ signing algorithms for the control of functioning and efficiency. Of specific interest to us in this paper is advanced air traffic management (ATM verification and design for safe conflict resolution strategies between air­ craft. Both cooperative

  20. Pollution Prevention Tracking and Reporting System | Department...

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

    Welcome to the Department of Energy's Pollution Prevention Tracking and Reporting System (PPTRS). DOE uses this system to collect information about, and assess the performance of,...