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Sample records for traffic lights task

  1. 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

  2. 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 ...

  3. 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

  4. 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

  5. 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

  6. 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...

  7. 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.

  8. 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

  9. 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

  10. 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 |

  11. Roundtable Discussions of the Solid-State Lighting R&D Task Structure

    SciTech Connect (OSTI)

    2008-09-01

    A report of a roundtable discussion addressing the R&D task structure for the DOE Solid-State Lighting Program.

  12. 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

  13. 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

  14. LED Surgical Task Lighting Scoping Study: A Hospital Energy Alliance Project

    SciTech Connect (OSTI)

    Tuenge, Jason R.

    2011-01-17

    Tungsten-halogen (halogen) lamps have traditionally been used to light surgical tasks in hospitals, even though they are in many respects ill-suited to the application due to the large percentage of radiant energy outside the visible spectrum and issues with color rendering/quality. Light-emitting diode (LED) technology offers potential for adjustable color and improved color rendition/quality, while simultaneously reducing side-effects from non-visible radiant energy. It also has the potential for significant energy savings, although this is a fairly narrow application in the larger commercial building energy use sector. Based on analysis of available products and Hospital Energy Alliance member interest, it is recommended that a product specification and field measurement procedure be developed for implementation in demonstration projects.

  15. Task lights, commonly used in offices, homes, and dormitories, often use

    E-Print Network [OSTI]

    and posing difficulties in focusing the light. Light-emitting diode (LED) lighting, a fairly new solid

  16. 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

  17. 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.

  18. Roundtable Discussions of the Solid State Lighting R&D Task Priorities Nov. 2009

    SciTech Connect (OSTI)

    2010-01-01

    A document for the Department of Energy, Energy Efficiency and Renewable Energy, Solid State Lighting

  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. Global Assessment of Hydrogen Technologies - Task 1 Report Technology Evaluation of Hydrogen Light Duty Vehicles

    SciTech Connect (OSTI)

    Fouad, Fouad H.; Peters, Robert W.; Sisiopiku, Virginia P.; Sullivan Andrew J.; Rousseau, Aymeric

    2007-12-01

    This task analyzes the candidate hydrogen-fueled vehicles for near-term use in the Southeastern U.S. The purpose of this work is to assess their potential in terms of efficiency and performance. This report compares conventional, hybrid electric vehicles (HEV) with gasoline and hydrogen-fueled internal combustion engines (ICEs) as well as fuel cell and fuel cell hybrids from a technology as well as fuel economy point of view. All the vehicles have been simulated using the Powertrain System Analysis Toolkit (PSAT). First, some background information is provided on recent American automotive market trends and consequences. Moreover, available options are presented for introducing cleaner and more economical vehicles in the market in the future. In this study, analysis of various candidate hydrogen-fueled vehicles is performed using PSAT and, thus, a brief description of PSAT features and capabilities are provided. Detailed information on the simulation analysis performed is also offered, including methodology assumptions, fuel economic results, and conclusions from the findings.

  1. 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.

  2. Sustainable Office Lighting Options

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Sustainable Office Lighting Options Task Lighting: Task lighting is a localized method of lighting a workspace so that additional, unnecessary lighting is eliminated, decreasing energy usage and costs. Illumination levels in the targeted work areas are higher with task lighting than with the ambient levels

  3. SFR Strategic Planning Tasks for 2011-2012 [At September 2011 planning retreat, participants reaffirmed ongoing objectives and goals from 2008-2011 plan and developed nine additional strategic tasks for 2012 in light of identified transition issues (ABB,

    E-Print Network [OSTI]

    Brown, Sally

    SFR Strategic Planning Tasks for 2011-2012 [At September 2011 planning retreat, participants reaffirmed ongoing objectives and goals from 2008-2011 plan and developed nine additional strategic tasks 2011 [STATUS: ON TARGET] #12;SFR Strategic Planning Tasks for 2011-2012 Task #5: Establish SFR

  4. SFR Strategic Planning Tasks for 2011-2012 [At September 2011 planning retreat, participants reaffirmed ongoing objectives and goals from 2008-2011 plan and developed nine additional strategic tasks for 2012 in light of identified transition issues (ABB,

    E-Print Network [OSTI]

    Brown, Sally

    SFR Strategic Planning Tasks for 2011-2012 [At September 2011 planning retreat, participants reaffirmed ongoing objectives and goals from 2008-2011 plan and developed nine additional strategic tasks of Autumn Quarter 2011 [STATUS: ON TARGET] #12;SFR Strategic Planning Tasks for 2011-2012 Task #5

  5. LIGHTING CONTROLS: SURVEY OF MARKET POTENTIAL

    E-Print Network [OSTI]

    Verderber, R.R.

    2010-01-01

    REFERENCES Task Report to Lighting Systems Research,Berkeley Laboratory, "Lighting Control System Market1980). Task Report to Lighting Systems Research, Lawrence

  6. Task Plans

    Office of Environmental Management (EM)

    Task Plans This page contains links to a tentative listing of active and closed TEC Task Plans. Final status of these task plans will be determined after the July 2000 TEC meeting....

  7. 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

  8. 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

  9. Getting Traffic Lights Talking to Improve Topeka's Traffic Tunnel |

    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:FinancingPetroleum12,Executive CompensationEnergyGet Current: Switch on CleanSmarterDepartment

  10. Lighting

    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 likeUniverseIMPACTThousand CubicResourcelogo and-E C H N13,CenterCenterLighting Sign In

  11. 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

  12. Traffic of Molecular Motors

    E-Print Network [OSTI]

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

    2005-12-06

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

  13. 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 ...

  14. 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

  15. Traffic Light Control using Reinforcement Learning

    E-Print Network [OSTI]

    Nehorai, Arye

    of Electrical & Systems Engineering, Washington University in St. Louis, St. Louis, MO Background Simulation 4me of each car currently at the intersec4on. In order: Cars, Roads, and Intersec.ons. The Cars structure contains all

  16. 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

  17. Arnold Schwarzenegger LIGHTING RESEARCH PROGRAM

    E-Print Network [OSTI]

    Project Summaries ELEMENT 2: ADVANCE LIGHTING TECHNOLOGIES PROJECT 2.1 LIGHT EMITTING DIODE (LED light emitting diodes (LED) technology for general lighting applications by developing a task lamp

  18. 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

  19. 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

  20. 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 ...

  1. Topeka’s “Green Light Tunnel” Saves Fuel and Time

    Broader source: Energy.gov [DOE]

    Topeka, Kansas is saving their motorists time and gasoline through the use of a real-time, adaptive "green light tunnel". A traffic signal system that synchronizes traffic lights in order to create a series of green lights that result in fewer stops and less travel time.

  2. 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;

  3. 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

  4. GE Lighting Solutions: Proposed Penalty (2013-SE-4901)

    Broader source: Energy.gov [DOE]

    DOE alleged in a Notice of Proposed Civil Penalty that General Electric Lighting Solutions manufactured and distributed noncompliant traffic signal modules in the U.S.

  5. GE Lighting Solutions: Noncompliance Determination (2013-SE-4901)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to General Electric Lighting Solutions finding that various models of traffic signal modules do not comport with the energy conservation standards.

  6. FirstEnergy (Potomac Edison)- Municipal and Street Lighting Program

    Broader source: Energy.gov [DOE]

    FirstEnergy (Potomac Edision) offers several incentives for non-residential and municipal customers to upgrade traffic signals, pedestrian signals, street lights to more efficient  fixtures. The...

  7. Energy Conservation in Industrial Lighting 

    E-Print Network [OSTI]

    Meharg, E.

    1979-01-01

    were identified. Savings in power and cost were quantified for typical examples as follows: Task lighting, high light source efficacy, high luminaire mounting height, efficient luminaires, surroundings painted a light color, regular luminaire cleaning...

  8. 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

  9. 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.

  10. 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

  11. Global Assessment of Hydrogen Technologies - Task 2 Report Comparison of Performance and Emissions from Near-Term Hydrogen Fueled Light Duty Vehicles

    SciTech Connect (OSTI)

    Fouad, Fouad H.; Peters, Robert W.; Sisiopiku, Virginia P.; Sullivan Andrew J.; Ng, Henry K.; Waller, Thomas

    2007-12-01

    An investigation was conducted on the emissions and efficiency from hydrogen blended compressed natural gas (CNG) in light duty vehicles. The different blends used in this investigation were 0%, 15%, 30%, 50%, 80%, 95%, and ~100% hydrogen, the remainder being compressed natural gas. The blends were tested using a Ford F-150 and a Chevrolet Silverado truck supplied by Arizona Public Services. Tests on emissions were performed using four different driving condition tests. Previous investigation by Don Karner and James Frankfort on a similar Ford F-150 using a 30% hydrogen blend showed that there was substantial reduction when compared to gasoline in carbon monoxide (CO), nitrogen oxide (NOx), and carbon dioxide (CO2) emissions while the reduction in hydrocarbon (HC) emissions was minimal. This investigation was performed using different blends of CNG and hydrogen to evaluate the emissions reducing capabilities associated with the use of the different fuel blends. The results were then tested statistically to confirm or reject the hypotheses on the emission reduction capabilities. Statistically analysis was performed on the test results to determine whether hydrogen concentration in the HCNG had any effect on the emissions and the fuel efficiency. It was found that emissions from hydrogen blended compressed natural gas were a function of driving condition employed. Emissions were found to be dependent on the concentration of hydrogen in the compressed natural gas fuel blend.

  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. 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

  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 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

  15. 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

  16. 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

  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. 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

  20. 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...

  1. NATIONAL TRAFFIC SAFETY SUMMIT

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on77 PAGEMissionStressMoveMuncrief Ames019NAPL10 1 NASEO 2010

  2. 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

  3. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-5 3-4 2-3 1-2 0-1 12/12/2013 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

  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-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

  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;R: KM 348 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;S: DP 415 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 3D-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;11/17/2013 4 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 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

  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 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

  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-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

  11. Fact #571: May 18, 2009 Light Truck CAFE Standards – 2006 Reformation

    Broader source: Energy.gov [DOE]

    In 2006 the National Highway Traffic Safety Administration (NHTSA) established new requirements for the light truck Corporate Average Fuel Economy (CAFE) standards. In the new rule, there are...

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-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

  1. 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

  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;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

  3. 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

  4. 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

  5. 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

  6. 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

  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;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

  8. 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

  9. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  10. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ;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

  11. 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

  12. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr 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

  13. 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

  14. 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

  15. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr 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

  16. 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

  17. 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

  18. 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

  19. 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

  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 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

  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 ­ 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

  2. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision;11/22/2013 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

  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 & 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

  4. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;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

  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 ­ 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

  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 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

  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 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

  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 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

  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-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

  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 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

  11. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision 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

  12. 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

  13. 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...

  14. The Problem Conventional office lighting typically consists of bright fluo-

    E-Print Network [OSTI]

    by delamping--result in lower power consump- tion. The PLS, which features light-emitting diode (LED lighting is reduced and three light-emitting diode (LED) task lights (two desk lamps and one undercabinet

  15. 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.

  16. The Advantage of Highly Controlled Lighting for Offices and Commercial Buildings

    E-Print Network [OSTI]

    Rubinstein, Francis

    2010-01-01

    of Highly Controlled Lighting for Offices and Commercialefficient, customized lighting for open-office cubicles.s “ambient” and “tasklighting components, 2) occupancy

  17. 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...

  18. 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

  19. 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.

  20. 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

  1. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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  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-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

  3. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-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

  4. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

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    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

  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-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

  6. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

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    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

  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 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

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    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

  9. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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  10. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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  11. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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  12. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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  13. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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  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 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

  15. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr & +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

  16. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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  17. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision-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

  18. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-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

  19. 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...

  20. GE Lighting Solutions: Order (2013-SE-4901)

    Broader source: Energy.gov [DOE]

    DOE ordered General Electric Lighting Solutions, LLC to pay a $5,360 civil penalty after finding GE Lighting Solutions had manufactured and distributed in commerce in the U.S. 30 units of basic model DR4-RTFB-23B and 177 units (of which 85 units remain in inventory) of basic model DR4-RTFB-77A-002, noncompliant traffic signal modules.

  1. 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 ...

  2. 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

  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. The Recovery Act is "Lighting Up" the streets of Philadelphia

    Broader source: Energy.gov [DOE]

    The Philadelphia Streets Department is converting 58,000 yellow and green traffic signals and will replace approximately 27,000 red LED lights that have come to the end of their useful life. The...

  5. 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

  6. 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

  7. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

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    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

  8. 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

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    E-Print Network [OSTI]

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    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

  10. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

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    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

  11. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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  12. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

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    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

  13. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr 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

  14. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

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  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-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

  16. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

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    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

  17. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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  18. 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

  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;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

  20. 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

  1. 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...

  2. 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

  3. LED Traffic Lights Get Buy American Stamp | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAand DOE Safety Standards Implementation JulyTheKEY07-97# .Andyan overview

  4. 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.

  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-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

  6. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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  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 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

  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 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

  9. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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  10. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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  11. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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  12. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Grounding-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 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

  13. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-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

  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-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

  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-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

  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-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

  17. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Potential Collision-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

  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-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

  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-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

  20. 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

  1. 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

  2. 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

  3. 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...

  4. 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,

  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 & 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

  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 + 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

  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 & 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

  8. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Vessel Time Exposure + Cargo FV set 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

  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 + 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

  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 ­ 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

  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 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

  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 + 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

  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 + 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

  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 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

  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 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

  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 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

  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 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

  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. Turbo-Charged Lighting Design 

    E-Print Network [OSTI]

    Clark, W. H. II

    1992-01-01

    , which has many spaces with different task-specific lighting standards. The author was challenged by lighting-level requirements that spanned the range of possibilities, and was able to devise an accurate, expedient solution using a dBase language program...

  20. Light-Light Scattering

    E-Print Network [OSTI]

    Naohiro Kanda

    2011-06-03

    For a long time, it is believed that the light by light scattering is described properly by the Lagrangian density obtained by Heisenberg and Euler. Here, we present a new calculation which is based on the modern field theory technique. It is found that the light-light scattering is completely different from the old expression. The reason is basically due to the unphysical condition (gauge condition) which was employed by the QED calcualtion of Karplus and Neumann. The correct cross section of light-light scattering at low energy of $(\\frac{\\omega}{m} \\ll 1)$ can be written as $ \\displaystyle{\\frac{d\\sigma}{d\\Omega}=\\frac{1}{(6\\pi)^2}\\frac{\\alpha^4} {(2\\omega)^2}(3+2\\cos^2\\theta +\\cos^4\\theta)}$.

  1. 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. ...

  2. 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...

  3. 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...

  4. 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

  5. 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 ...

  6. 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

  7. 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 ...

  8. 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...

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. EECBG Success Story: Recovery Act is "Lighting Up" the Streets of Philadelphia

    Broader source: Energy.gov [DOE]

    The Philadelphia Streets Department is converting 58,000 yellow and green traffic signals and will replace approximately 27,000 red LED lights that have come to the end of their useful life. Learn more.

  18. Map Task Scheduling in MapReduce with Data Locality: Throughput and Heavy-Traffic Optimality

    E-Print Network [OSTI]

    Zhang, Junshan

    is throughput optimal and the outer bound coincides with the actual capacity region. Further, we study in a distributed and parallel fashion, and has been widely used in practice, including Google, Yahoo!, Facebook

  19. 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...

  20. 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

  1. 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...

  2. Sandia Energy - IEA PVPS Task 13 Activities

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

    IEA PVPS Task 13 Activities Home Stationary Power Energy Conversion Efficiency Solar Energy Photovoltaics PV Modeling & Analysis IEA PVPS Task 13 Activities IEA PVPS Task 13...

  3. 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

  4. 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.

  5. Development of a Web-based Emissions Reduction Calculator for Street Light and Traffic Light Retrofits 

    E-Print Network [OSTI]

    Liu, Z.; Gilman, D.; Haberl, J. S.; Culp, C.

    2005-01-01

    Page C.l - PROJECT D E S C R I P T I O N ........................................ ^5 C.2 - ASSUMPTION OF RESPONSIBILITY........................... ... 51 C.2.1 - PLANNING AND SCHEDULING........................... ... 51 C.2.2 - TRACKING AND C O N... \\ 5-1 O O ?H ?H a} CU PM P-i w X n ? PL, Q <3 PQ CJ P w CJ EC 5-1O 4JcdL

  6. Light Duty Utility Arm System hot test

    SciTech Connect (OSTI)

    Howden, G.F.; Conrad, R.B.; Kiebel, G.R.

    1996-02-01

    This Engineering Task Plan describes the scope of work and cost for implementing a hot test of the Light Duty Utility Arm System in Tank T-106 in September 1996.

  7. 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.

  8. 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.

  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 & 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

  10. 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%.

  11. 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.

  12. Smart Lighting Controller!! Smart lighting!

    E-Print Network [OSTI]

    Anderson, Betty Lise

    'll build the circuit! We'll use an LED to represent the room lights! #12;4! Block diagram! Battery! Rail! #12;23! LED: light-emitting diode! Diode conducts current in only one direction! When current flows1! Smart Lighting Controller!! #12;2! Smart lighting! No need to spend energy lighting the room if

  13. Reactor Pressure Vessel Task of Light Water Reactor Sustainability Program:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAandSummary From: JuliaDepartment-8-2008 October5 ofCTIAR.

  14. Reactor Pressure Vessel Task of Light Water Reactor Sustainability Program:

    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 RankADVANCED MANUFACTURINGEnergy BillsNo. 195 - Oct. 7,DOE HDBK-1113-2008Broadband Plan

  15. Reactor Pressure Vessel Task of Light Water Reactor Sustainability Program:

    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 RankADVANCED MANUFACTURINGEnergy BillsNo. 195 - Oct. 7,DOE HDBK-1113-2008Broadband PlanInitial Assessment of

  16. Task Rou)ng for Predic)on Tasks Haoqi Zhang

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    Task Rou)ng for Predic)on Tasks Haoqi Zhang Eric Horvitz Yiling Chen David't prove A or B, you need to prove C. 5 #12;task rou)ng over social networks;task rou)ng for predic)on tasks 10 #12;task rou)ng for predic)on tasks

  17. 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.

  18. 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.

  19. Nuclear power plant control room operator control and monitoring tasks

    SciTech Connect (OSTI)

    Bovell, C.R.; Beck, M.G. [Concord Associates, Inc., Knoxville, TN (United States); Carter, R.J. [Oak Ridge National Labs., TN (United States)

    1998-07-01

    Oak Ridge National Laboratory is conducting a research project the purpose of which is to develop the technical bases for regulatory review criteria for use in evaluating the safety implications of human factors associated with the use of artificial intelligence and expert systems, and with advanced instrumentation and control (I and C) systems in nuclear power plants (NPP). This report documents the results from Task 8 of that project. The primary objectives of the task was to identify the scope and type of control and monitoring tasks now performed by control-room operators. Another purpose was to address the types of controls and safety systems needed to operate the nuclear plant. The final objective of Task 8 was to identify and categorize the type of information and displays/indicators required to monitor the performance of the control and safety systems. This report also discusses state-of-the-art controls and advanced display devices which will be available for use in control-room retrofits and in control room of future plants. The fundamental types of control and monitoring tasks currently conducted by operators can be divided into four classifications: function monitoring tasks, control manipulation tasks, fault diagnostic tasks, and administrative tasks. There are three general types of controls used in today`s NPPs, switches, pushbuttons, and analog controllers. Plant I and C systems include components to achieve a number of safety-related functions: measuring critical plant parameters, controlling critical plant parameters within safety limits, and automatically actuating protective devices if safe limits are exceeded. The types of information monitored by the control-room operators consist of the following parameters: pressure, fluid flow and level, neutron flux, temperature, component status, water chemistry, electrical, and process and area radiation. The basic types of monitoring devices common to nearly all NPP control rooms include: analog meters, graphic recorders, digital displays and counters, light indicators, visual and audio alarms, and cathode-ray tubes.

  20. Measurements of Diesel Truck Traffic Associated with Goods Movement

    E-Print Network [OSTI]

    Houston, Douglas; Krudysz, Margaret; Winer, Arthur

    2007-01-01

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

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

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

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

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

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

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

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

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

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

  4. Task Conceptions and Work Arrangements 

    E-Print Network [OSTI]

    Scott, W Richard; Dornbusch, Sanford M; Evashwick, Connie J; Magnani, Leonard; Sagatun, Inger

    2015-08-12

    , University of Bergen, Norway. TECHNICAL REPORT #47 TASK CONCEPTION'S AND WORK ARRANGEMENTS For well over half a century sociologists have been engaged in the study of organizations. But until the last few years, there has been relatively little systematic...

  5. 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

  6. 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...

  7. 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...

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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...

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. Light Properties Light travels at the speed of light `c'

    E-Print Network [OSTI]

    Mojzsis, Stephen J.

    LIGHT!! #12;Light Properties Light travels at the speed of light `c' C = 3 x 108 m/s Or 190,000 miles/second!! Light could travel around the world about 8 times in one second #12;What is light?? Light is a "wave packet" A photon is a "light particle" #12;Electromagnetic Radiation and You Light is sometimes

  20. 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...

  1. FAQS Job Task Analyses- DOE Aviation Manager

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  2. FAQS Job Task Analyses- Industrial Hygiene

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  3. FAQS Job Task Analyses- Quality Assurance

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  4. Toward Evaluating Lighting Design Interface Paradigms for Novice Users

    E-Print Network [OSTI]

    Toward Evaluating Lighting Design Interface Paradigms for Novice Users William Brandon Kerr and Fabio Pellacini Dartmouth Computer Science Technical Report TR2008-636 Abstract Lighting design is a complex and fundamental task in computer cinematography, involving adjustment of light pa- rameters

  5. EXAMINATION OF THE FEASIBILITY FOR DEMONSTRATION AND USE OF RADIOLUMINESCENT LIGHTS FOR ALASKAN REMOTE RUNWAY LIGHTING

    SciTech Connect (OSTI)

    Jensen, G.; Perrigo, L.; Leonard, L.; Hegdal, L

    1984-01-01

    This report examines the feasibility of radioluminescent light applications for rural Alaskan airports. The work presented in this report covers four tasks: State of the Art Evaluation of Radioluminescent Lights, Environmental, Radiological, and Regulatory Evaluations, Engineering Evaluations, and Demonstration Plan Development.

  6. Ecosystem Task Force Meeting Minutes

    E-Print Network [OSTI]

    New Hampshire, University of

    targets for future reductions? 3.1. No. We could work on those with the Task Force. Water Quality. How would growth affect water quality? 3.1. Are we following Rob's recommendations from storm water. 5. There is more work to be done to characterize lands to east as well as west. Waste Management

  7. WORKPLACE HAZARD ASSESSMENT Location: Task

    E-Print Network [OSTI]

    Rubloff, Gary W.

    WORKPLACE HAZARD ASSESSMENT Location: Task: Performed by: Date: This form may be used as an aid in performing hazard assessment. Review listed hazard classifications, identify all hazards, possible hazards and their sources. Hazard classification listing is not intended to be complete but is provided as a guide

  8. Task Group 9 Update (Presentation)

    SciTech Connect (OSTI)

    Bosco, N.

    2014-04-01

    This presentation is a brief update of IEC TC82 QA Task Force, Group 9. Presented is an outline of the recently submitted New Work Item Proposal (NWIP) for a Comparative Thermal Cycling Test for CPV Modules to Differentiate Thermal Fatigue Durability.

  9. Cerenkov Light

    ScienceCinema (OSTI)

    Slifer, Karl

    2014-05-22

    The bright blue glow from nuclear reactors is Cerenkov light. Karl Slifer describes how nuclear physicists can use this phenomenon to study the nucleus of the atom.

  10. Cerenkov Light

    SciTech Connect (OSTI)

    Slifer, Karl

    2013-06-13

    The bright blue glow from nuclear reactors is Cerenkov light. Karl Slifer describes how nuclear physicists can use this phenomenon to study the nucleus of the atom.

  11. Lighting Renovations

    Broader source: Energy.gov [DOE]

    When undertaking a lighting renovation in a Federal building, daylighting is the primary renewable energy opportunity. Photovoltaics (PV) also present an excellent opportunity. While this guide...

  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. 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

  16. 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...

  17. 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 ...

  18. 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 ...

  19. 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

  20. 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...

  1. 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 ...

  2. 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 ...

  3. 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

  4. 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...

  5. 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

  6. 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...

  7. Preprint version, final version at http://ieeexplore.ieee.org/ 2015 IEEE Int. Conf. on Robotics & Automation, Seattle, WA, USA Design, Identification and Experimental Testing of a Light-weight

    E-Print Network [OSTI]

    interaction tasks. In [7], a light-weight industrial arm is attached to a small-size helicopter, under

  8. WCVM Research Task Force Report March 2011 WCVM Research Task Force

    E-Print Network [OSTI]

    Saskatchewan, University of

    #12; #12;WCVM Research Task Force Report ­ March 2011 p.1 WCVM Research Task Force Report MarchDeanFreemanforreaffirmingtheimportanceoftheresearchenterpriseatthe WCVMthroughtheinceptionoftheResearchTaskForceandpermittingcomplete autonomyinitsmachinations.Taskforcememberswouldalsoliketothankthefacultythat tooktimetofillouttheResearch

  9. Task Rou)ng for Predic)on Tasks Haoqi Zhang

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    Task Rou)ng for Predic)on Tasks Haoqi Zhang Eric Horvitz Yiling Chen David Parkes Workshop on Social Compu)ng and User Generated Content #12 who can further contribute. Task Rou*ng #12;? ? ? ? Pull Push

  10. Fault-tolerant dynamic task graph scheduling

    SciTech Connect (OSTI)

    Kurt, Mehmet C.; Krishnamoorthy, Sriram; Agrawal, Kunal; Agrawal, Gagan

    2014-11-16

    In this paper, we present an approach to fault tolerant execution of dynamic task graphs scheduled using work stealing. In particular, we focus on selective and localized recovery of tasks in the presence of soft faults. We elicit from the user the basic task graph structure in terms of successor and predecessor relationships. The work stealing-based algorithm to schedule such a task graph is augmented to enable recovery when the data and meta-data associated with a task get corrupted. We use this redundancy, and the knowledge of the task graph structure, to selectively recover from faults with low space and time overheads. We show that the fault tolerant design retains the essential properties of the underlying work stealing-based task scheduling algorithm, and that the fault tolerant execution is asymptotically optimal when task re-execution is taken into account. Experimental evaluation demonstrates the low cost of recovery under various fault scenarios.

  11. Modeling technical systems Task 3 Franz Wotawa

    E-Print Network [OSTI]

    : Task 3 comprises a written report including the Modelica files and an oral presentation where the task in abductive diagnosis from the Modelica model (potentially in an automated way)? Answer this question

  12. Development of the Spatial Judgment Experimental Task 

    E-Print Network [OSTI]

    Moore, James C.

    2015-07-21

    Moore builds on the work of Conner (Technical Report #11) to develop an entirely new experimental task. This task, with the important restriction that stimuli are presented in a particular order, does successfully meet the criterion of independent...

  13. Nuclear Radiological Threat Task Force Established | National...

    National Nuclear Security Administration (NNSA)

    Radiological Threat Task Force Established | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing...

  14. Task force cover.indd

    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. Coal StocksSuppliers Tag:TakeSeptemberof Energy Task to

  15. Lighting in the Library

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

    by your library lights E Kilowatt-hours consumed by your library lights F Annual cost of operating your library lights H Current lighting index for your library ...

  16. Supplemental Material Table 1. Stimuli for in-scanner task. Block Rhyme Task Stimuli

    E-Print Network [OSTI]

    between brain activation and task performance (r = .008 ~ .23, p = .59 ~ .98). 2. Analyses of covariance

  17. Fuel Economy of the Light-Duty Vehicle Fleet (released in AEO2005)

    Reports and Publications (EIA)

    2005-01-01

    The U.S. fleet of light-duty vehicles consists of cars and light trucks, including minivans, sport utility vehicles (SUVs) and trucks with gross vehicle weight less than 8,500 pounds. The fuel economy of light-duty vehicles is regulated by the (Corporate Average Fuel Economy) CAFE standards set by the National Highway Traffic Safety Administration. Currently, the CAFE standard is 27.5 miles per gallon (mpg) for cars and 20.7 mpg for light trucks. The most recent increase in the CAFE standard for cars was in 1990, and the most recent increase in the CAFE standard for light trucks was in 1996.

  18. Light's Darkness

    ScienceCinema (OSTI)

    Padgett, Miles [University of Glasgow, Glasgow, Scotland

    2010-01-08

    Optical vortices and orbital angular momentum are currently topical subjects in the optics literature. Although seemingly esoteric, they are, in fact, the generic state of light and arise whenever three or more plane waves interfere. To be observed by eye the light must be monochromatic. Laser speckle is one such example, where the optical energy circulates around each black spot, giving a local orbital angular momentum. This talk with report three on-going studies. First, when considering a volume of interfering waves, the laser specs map out threads of complete darkness embedded in the light. Do these threads form loops? Links? Or even knots? Second, when looking through a rapidly spinning window, the image of the world on the other side is rotated: true or false? Finally, the entanglement of orbital angular momentum states means measuring how the angular position of one photons sets the angular momentum of another: is this an angular version of the EPR (Einstein, Podolsky, and Rosen) paradox?

  19. 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.

  20. Types of Lights Types of Lights

    E-Print Network [OSTI]

    1 Types of Lights Types of Lights q So far we have studied point lights ­ Radiate in all direc7ons q Other lights ­ Direc7onal lights (posi7on-independent) ­ Spotlights #12;2 Direc1onal Lights q Shine in a single, uniform direc7on q All rays

  1. Light Computing

    E-Print Network [OSTI]

    Gordon Chalmers

    2006-10-13

    A configuration of light pulses is generated, together with emitters and receptors, that allows computing. The computing is extraordinarily high in number of flops per second, exceeding the capability of a quantum computer for a given size and coherence region. The emitters and receptors are based on the quantum diode, which can emit and detect individual photons with high accuracy.

  2. Methods and systems for detecting abnormal digital traffic

    DOE Patents [OSTI]

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

    2011-03-22

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

  3. MapTask Scheduling in MapReduce with Data Locality: Throughput and Heavy-Traffic Optimality

    E-Print Network [OSTI]

    Zhang, Junshan

    with the actual capacity region and the proposed algorithm is throughput optimal. Further, we study the number Google, Yahoo!, Facebook, Amazon and IBM. A production MapReduce cluster may consist of tens of thousands

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

    E-Print Network [OSTI]

    Falker, John M

    2002-01-01

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

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

    E-Print Network [OSTI]

    Li, Xiaohan

    2015-01-26

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

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

    E-Print Network [OSTI]

    Lim, Sejoon

    2012-01-01

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

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

    E-Print Network [OSTI]

    Chiang, Mung

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

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

    E-Print Network [OSTI]

    Fields, Matthew James

    2009-05-15

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

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

    E-Print Network [OSTI]

    Karlsson Joakim

    1990-01-01

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

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

    E-Print Network [OSTI]

    Bargiela, Andrzej

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

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

    E-Print Network [OSTI]

    Bargiela, Andrzej

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

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

    E-Print Network [OSTI]

    Martin, Ralph R.

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

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

    E-Print Network [OSTI]

    McNeal, Heather

    2010-07-14

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

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

    E-Print Network [OSTI]

    Angeloni, Lisa

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

  15. 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.

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. CONCEPTUALLY BASED TASK DESIGN: MEGAN'S PROGRESS ...

    E-Print Network [OSTI]

    Jasper Lee

    2013-03-27

    the design and use of tasks/prompts that can lead students to construct ..... The Equilibration of Cognitive Structures: The Central Problem of Intellectual.

  12. Joint Outreach Task Group Calendar: September 2013

    Broader source: Energy.gov [DOE]

    Joint Outreach Task Group (JOTG)has created a monthly calendar of community events to facilitate interagency and community involvement in these events. September 2013

  13. Interagency Energy Management Task Force Members

    Broader source: Energy.gov [DOE]

    The Interagency Energy Management Task Force is led by the Federal Energy Management Program director. Members include energy and sustainability managers from federal agencies.

  14. NREL Job Task Analysis: Quality Control Inspector

    SciTech Connect (OSTI)

    Kurnik, C.; Woodley, C.

    2011-05-01

    A summary of job task analyses for the position of quality control inspector when evaluating weatherization work that has been done on a residence.

  15. NREL Job Task Analysis: Energy Auditor

    SciTech Connect (OSTI)

    Kurnik, C.; Woodley, C.

    2011-05-01

    A summary of job task analyses for the position of energy auditor when evaluating a residence before and during weatherization work.

  16. 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

  17. 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

  18. 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

  19. 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.

  20. 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.

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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...

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. Spectrally Enhanced Lighting Program Implementation for Energy Savings: Field Evaluation

    SciTech Connect (OSTI)

    Gordon, Kelly L.; Sullivan, Gregory P.; Armstrong, Peter R.; Richman, Eric E.; Matzke, Brett D.

    2006-08-22

    This report provides results from an evaluation PNNL conducted of a spectrally enhanced lighting demonstration project. PNNL performed field measurements and occupant surveys at three office buildings in California before and after lighting retrofits were made in August and December 2005. PNNL measured the following Overhead lighting electricity demand and consumption, Light levels in the workspace, Task lighting use, and Occupant ratings of satisfaction with the lighting. Existing lighting, which varied in each building, was replaced with lamps with correlated color temperature (CCT) of 5000 Kelvin, color rendering index (CRI) of 85, of varying wattages, and lower ballast factor electronic ballasts. The demonstrations were designed to decrease lighting power loads in the three buildings by 22-50 percent, depending on the existing installed lamps and ballasts. The project designers hypothesized that this reduction in electrical loads could be achieved by the change to higher CCT lamps without decreasing occupant satisfaction with the lighting.

  2. 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.

  3. Task and Machine Heterogeneities: Higher Moments Matter

    E-Print Network [OSTI]

    Maciejewski, Anthony A. "Tony"

    Task and Machine Heterogeneities: Higher Moments Matter Abdulla M. Al-Qawasmeh 1 , Anthony A.potter}@colostate.edu jtsmith@digitalglobe.com Abstract - One type of heterogeneous computing (HC) systems consists of machines in this matrix represents the ETC of a specific task on a specific machine when executed exclusively. Heuristics

  4. Sustainability Initiative Task Force Final Report

    E-Print Network [OSTI]

    Sheridan, Jennifer

    UW­Madison Sustainability Initiative Task Force Final Report October 2010 #12;We are pleased to present the final report of the campus Sustainability Task Force. This report fulfills the charge we gave to sustainability for consideration by UW­Madison's leadership and campus community. There are many reasons why

  5. Water Conservation Task Force (2014 Charge)

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    Water Conservation Task Force (2014 Charge) The Task Force will advise the Chancellor and Campus Provost/Executive Vice Chancellor (CP/EVC) on current and past water use and provide recommendations on implementation of policies for potable water use reductions in support of The Regents Policy on Sustainable

  6. Queueing networks with a single shared server: light and heavy traffic

    E-Print Network [OSTI]

    van der Mei, Rob

    such as computer systems, communication networks, logistics, flexible manu- facturing systems, robotics systems, production systems and maintenance systems (see, for example, [1] for overviews). Applications of this type

  7. Residential Lighting

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100Nationalquestionnaires 0 Averagequestionnaires 7tniLighting Sign In

  8. TASK 40: Sustainable International Bio Energy Trade: securing supply Overview of the task

    E-Print Network [OSTI]

    -energy. By means of the international platform of IEA combined with industrial parties, governmental bodies and NGO, with Germany joining the IEA Bioenergy programme, it is expected that Germany may join Task 40 as well.fairbiotrade.org and the IEA Bioenergy website www.ieabioenergy.com under `Our Work:Tasks'. Progress in R&D Task meetings

  9. Task mapping for non-contiguous allocations.

    SciTech Connect (OSTI)

    Leung, Vitus Joseph; Bunde, David P. [Knox College, Galesburg, IL; Ebbers, Johnathan [Knox College, Galesburg, IL; Price, Nicholas W. [Knox College, Galesburg, IL; Swank, Matthew [Knox College, Galesburg, IL; Feer, Stefan P. [3M Health Information Systems, Inc., Wallingford, CT; Rhodes, Zachary D. [Allstate Corporation, Northbrook, IL

    2013-02-01

    This paper examines task mapping algorithms for non-contiguously allocated parallel jobs. Several studies have shown that task placement affects job running time for both contiguously and non-contiguously allocated jobs. Traditionally, work on task mapping either uses a very general model where the job has an arbitrary communication pattern or assumes that jobs are allocated contiguously, making them completely isolated from each other. A middle ground between these two cases is the mapping problem for non-contiguous jobs having a specific communication pattern. We propose several task mapping algorithms for jobs with a stencil communication pattern and evaluate them using experiments and simulations. Our strategies improve the running time of a MiniApp by as much as 30% over a baseline strategy. Furthermore, this improvement increases markedly with the job size, demonstrating the importance of task mapping as systems grow toward exascale.

  10. LED Lighting Basics

    Broader source: Energy.gov [DOE]

    Light-Emitting diodes (LEDs) efficiently produce light in a fundamentally different way than any legacy or traditional source of light.

  11. 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

  12. Sandia Energy - (Lighting and) Solid-State Lighting: Science...

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

    (Lighting and) Solid-State Lighting: Science, Technology, Economic Perspectives Home Energy Research EFRCs Solid-State Lighting Science EFRC (Lighting and) Solid-State Lighting:...

  13. 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...

  14. 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

  15. Solid State Lighting Program

    SciTech Connect (OSTI)

    Theodore D. Moustakas

    2007-11-30

    The project had two main tasks: One addressed the materials and device development and it was carried out at Boston University. The second addressed the theory and simulation of materials and devices and it was carried out at Science Application International Corporation (SAIC). Each task had a number of sub-tasks which are described in the following table. Progress in these tasks is described in this section.

  16. Qualifying Facility Wheeling Task Force-- Status Report 

    E-Print Network [OSTI]

    Panjavan, S.

    1989-01-01

    Docket No. 8650 that the PUCT review the applicability of certain parts of the wheeling rules, and in April the Commission appointed a task force composed of representatives from affected industries, utilities, and regulatory staff to review the wheeling...

  17. Decoding algorithms for complex natural language tasks

    E-Print Network [OSTI]

    Deshpande, Pawan

    2007-01-01

    This thesis focuses on developing decoding techniques for complex Natural Language Processing (NLP) tasks. The goal of decoding is to find an optimal or near optimal solution given a model that defines the goodness of a ...

  18. Performing overhead tasks with supernumerary robotic limbs

    E-Print Network [OSTI]

    McKenna, Jay (Jay P.)

    2014-01-01

    Overhead tasks such as those frequently found in aircraft manufacturing pose health risks to the workers due to the strain imposed on the shoulders. To reduce the risk of injury, a set of supernumerary robotic limbs (SRL) ...

  19. Collaborative Task Support and e-Response 

    E-Print Network [OSTI]

    Potter, S; Tate, Austin; Dalton, J

    2004-01-01

    Rather than seeking to automate the tasks performed by humans, the trend in modern AI research and application development is towards providing support to human agents in the workplace. The impetus for this lies in an ...

  20. Light Water Reactor Sustainability Program. Digital Architecture Requirements

    SciTech Connect (OSTI)

    Thomas, Kenneth; Oxstrand, Johanna

    2015-03-01

    The Digital Architecture effort is a part of the Department of Energy (DOE) sponsored Light-Water Reactor Sustainability (LWRS) Program conducted at Idaho National Laboratory (INL). The LWRS program is performed in close collaboration with industry research and development (R&D) programs that provides the technical foundations for licensing and managing the long-term, safe, and economical operation of current nuclear power plants (NPPs). One of the primary missions of the LWRS program is to help the U.S. nuclear industry adopt new technologies and engineering solutions that facilitate the continued safe operation of the plants and extension of the current operating licenses. Therefore, a major objective of the LWRS program is the development of a seamless digital environment for plant operations and support by integrating information from plant systems with plant processes for nuclear workers through an array of interconnected technologies. In order to get the most benefits of the advanced technology suggested by the different research activities in the LWRS program, the nuclear utilities need a digital architecture in place to support the technology. A digital architecture can be defined as a collection of information technology (IT) capabilities needed to support and integrate a wide-spectrum of real-time digital capabilities for nuclear power plant performance improvements. It is not hard to imagine that many processes within the plant can be largely improved from both a system and human performance perspective by utilizing a plant wide (or near plant wide) wireless network. For example, a plant wide wireless network allows for real time plant status information to easily be accessed in the control room, field workers’ computer-based procedures can be updated based on the real time plant status, and status on ongoing procedures can be incorporated into smart schedules in the outage command center to allow for more accurate planning of critical tasks. The goal of the digital architecture project is to provide a long-term strategy to integrate plant systems, plant processes, and plant workers. This include technologies to improve nuclear worker efficiency and human performance; to offset a range of plant surveillance and testing activities with new on-line monitoring technologies; improve command, control, and collaboration in settings such as outage control centers and work execution centers; and finally to improve operator performance with new operator aid technologies for the control room. The requirements identified through the activities in the Digital Architecture project will be used to estimate the amount of traffic on the network and hence estimating the minimal bandwidth needed.

  1. Agencies Approve Bacteria TMDL Task Force Recommendations 

    E-Print Network [OSTI]

    Wythe, Kathy

    2007-01-01

    tx H2O | pg. 10 In June 2007 the Texas Commission onEnvironmental Quality (TCEQ) and the TexasState Soil and Water Conservation Board (TSSW- CB) approved the recommendations of the Bacteria Total Maximum Daily Load (TMDL) Task Force and asked... their agencies to update their TMDL guidance documents to reflect these recommendations. They also authorized establishing a multi-agency bacteria TMDL work group to examine the research and development needs identified in the task force report. Both TCEQ...

  2. Efficient tunable switch from slow light to fast light in quantum opto-electromechanical system

    E-Print Network [OSTI]

    Akram, M Javed; Saif, Farhan

    2015-01-01

    The control of slow and fast light propagation, in the probe transmission in a single experiment, is a challenging task. This type of control can only be achieved through highly nonlinear interactions and additional interfering pathway(s), which is therefore seldom reported. Here, we devise a scheme in which slow light, and a tunable switch from slow light to fast light can be achieved in the probe transmission based on a hybrid setup, which is composed of an optical cavity with two charged nano mechanical resonators (MRs). The two MRs are electrostatically coupled via tunable Coulomb coupling strength ($g_{c}$) making a quantum opto-electromechanical system (QOEMS). The parameter $g_{c}$ that couples the two MRs can be switched on and off by controlling the bias voltages on the MRs, and acts as a tunable switch that allows the propagation of transmitted probe field as slow light ($g_{c} \

  3. Efficient tunable switch from slow light to fast light in quantum opto-electromechanical system

    E-Print Network [OSTI]

    M. Javed Akram; Khalid Naseer; Farhan Saif

    2015-03-05

    The control of slow and fast light propagation, in the probe transmission in a single experiment, is a challenging task. This type of control can only be achieved through highly nonlinear interactions and additional interfering pathway(s), which is therefore seldom reported. Here, we devise a scheme in which slow light, and a tunable switch from slow light to fast light can be achieved in the probe transmission based on a hybrid setup, which is composed of an optical cavity with two charged nano mechanical resonators (MRs). The two MRs are electrostatically coupled via tunable Coulomb coupling strength ($g_{c}$) making a quantum opto-electromechanical system (QOEMS). The parameter $g_{c}$ that couples the two MRs can be switched on and off by controlling the bias voltages on the MRs, and acts as a tunable switch that allows the propagation of transmitted probe field as slow light ($g_{c} \

  4. Aging and the vulnerability of speech to dual task demands

    E-Print Network [OSTI]

    Kemper, Susan; Schmalzried, RaLynn Cheri; Hoffman, Lesa; Herman, Ruth

    2010-12-01

    Tracking a digital pursuit rotor task was used to measure dual task costs of language production by young and older adults. Tracking performance by both groups was affected by dual task demands: time on target declined and tracking error increased...

  5. July 15, 2014 SEAB Task Force Meeting on Technology Development...

    Energy Savers [EERE]

    Task Force Meeting on Technology Development for Environmental Management July 15, 2014 SEAB Task Force Meeting on Technology Development for Environmental Management July 15,...

  6. H2FIRST Hydrogen Contaminant Detector Task: Requirements Document...

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

    H2FIRST Hydrogen Contaminant Detector Task: Requirements Document and Market Survey H2FIRST Hydrogen Contaminant Detector Task: Requirements Document and Market Survey This H2FIRST...

  7. Collaborative Utility Task Force Partners with DOE to Develop...

    Energy Savers [EERE]

    Collaborative Utility Task Force Partners with DOE to Develop Cyber Security Requirements for Advanced Metering Infrastructure Collaborative Utility Task Force Partners with DOE to...

  8. Climate Change Task Force Webinar Series | Department of Energy

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

    Climate Change Task Force Webinar Series Climate Change Task Force Webinar Series The four-part Climate Change Impacts and Indian Country webinar series provided tribal leaders an...

  9. Federal Task Force Sends Recommendations to President on Fostering...

    Energy Savers [EERE]

    Task Force Sends Recommendations to President on Fostering Clean Coal Technology Federal Task Force Sends Recommendations to President on Fostering Clean Coal Technology August 12,...

  10. Task Force for Strategic Developments to Blue Ribbon Commission...

    Office of Environmental Management (EM)

    Task Force for Strategic Developments to Blue Ribbon Commission Recommendations Task Force for Strategic Developments to Blue Ribbon Commission Recommendations Formed at the...

  11. 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

  12. 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

  13. 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

  14. 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 ...

  15. 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

  16. 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.

  17. 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

  18. 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

  19. Lighting Options for Homes.

    SciTech Connect (OSTI)

    Baker, W.S.

    1991-04-01

    This report covers many aspects of various lighting options for homes. Types of light sources described include natural light, artificial light, incandescent lamps, fluorescent lamps, and high intensity discharge lamps. A light source selection guide gives the physical characteristics of these, design considerations, and common applications. Color, strategies for efficient lighting, and types of lighting are discussed. There is one section giving tips for various situations in specific rooms. Rooms and types of fixtures are shown on a matrix with watts saved by using the recommended type lighting for that room and room location. A major emphasis of this report is saving energy by utilizing the most suitable, recommended lighting option. (BN)

  20. Mobile lighting apparatus

    DOE Patents [OSTI]

    Roe, George Michael; Klebanoff, Leonard Elliott; Rea, Gerald W; Drake, Robert A; Johnson, Terry A; Wingert, Steven John; Damberger, Thomas A; Skradski, Thomas J; Radley, Christopher James; Oros, James M; Schuttinger, Paul G; Grupp, David J; Prey, Stephen Carl

    2013-05-14

    A mobile lighting apparatus includes a portable frame such as a moveable trailer or skid having a light tower thereon. The light tower is moveable from a stowed position to a deployed position. A hydrogen-powered fuel cell is located on the portable frame to provide electrical power to an array of the energy efficient lights located on the light tower.

  1. U.S. Support Program tasks

    SciTech Connect (OSTI)

    Langner, D.G.

    1998-09-01

    In the fall of 1993, President Clinton announced before the United Nations General Assembly, that the US would voluntarily offer excess fissile material of weapons origin to International Atomic Energy Agency (IAEA) safeguards. There are presently five US Support Program tasks at work. Three are complete, and two are underway. Reports are available from two of the completed SP-1s; a draft is in preparation for the third. These tasks are: (1) plutonium scrap multiplicity counter at Hanford; (2) calorimeter authentication at Hanford; (3) large neutron multiplicity counter at Rocky Flats; (4) calorimeter authentication at Rocky Flats; and (5) safeguards approach support at the APSF, SRS. The status of the first four tasks above is described here. Information on the work at Savannah River is contained in a separate paper.

  2. 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.

  3. Practical image based lighting 

    E-Print Network [OSTI]

    Lee, Jaemin

    2003-01-01

    information is lighting. Image based lighting that is developed to recover illumination information of the real world from photographs has recently been popular in computer graphics. In this thesis we present a practical image based lighting method. Our...

  4. Light in the city

    E-Print Network [OSTI]

    Srinivasan, Kavita, 1976-

    2002-01-01

    This thesis focuses on enhancing the awareness of light for the pedestrian,and using light as a way of revealing the structure of the city and its relation to the cosmos. It proposes that aesthetic qualities of light inform ...

  5. Advances in Lighting 

    E-Print Network [OSTI]

    Tumber, A. J.

    1981-01-01

    Increasing electricity costs have made a significant impact on lighting. The Illuminating Engineering society (I.E.S.) and the lighting industry are producing new standards, procedures and products to make lighting more appropriate and energy...

  6. Natural lighting and skylights 

    E-Print Network [OSTI]

    Evans, Benjamin Hampton

    1961-01-01

    There are many physiological and psychological factors which enter into the proper design of space for human occupancy. One of these elements is light. Both natural light and manufactured light are basic tools with which any designer must work...

  7. Specific light in sculpture

    E-Print Network [OSTI]

    Powell, John William

    1989-01-01

    Specific light is defined as light from artificial or altered natural sources. The use and manipulation of light in three dimensional sculptural work is discussed in an historic and contemporary context. The author's work ...

  8. Advanced Demand Responsive Lighting

    E-Print Network [OSTI]

    Advanced Demand Responsive Lighting Host: Francis Rubinstein Demand Response Research Center demand responsive lighting systems ­ Importance of dimming ­ New wireless controls technologies · Advanced Demand Responsive Lighting (commenced March 2007) #12;Objectives · Provide up-to-date information

  9. Light Duty Combustion Research: Advanced Light-Duty Combustion...

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

    Light Duty Combustion Research: Advanced Light-Duty Combustion Experiments Light Duty Combustion Research: Advanced Light-Duty Combustion Experiments 2009 DOE Hydrogen Program and...

  10. Lighting in Commercial Buildings

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

    are also under consideration. Outside the DOE, the Environmental Protection Agency's Green Lights program promotes energy-efficient lighting as a means to reducing...

  11. Lighting in Commercial Buildings

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

    Motivation and Computation of Lighting Measures Floorspace by Lighting Equipment Configuration As described in Appendix A, for each building b, the CBECS data set has the total...

  12. Lighting in Commercial Buildings

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

    more comprehensive understanding of commercial lighting and the potential for lighting energy savings. Steps to build on this analysis can be taken in many directions. One...

  13. Leavenworth Tree Lighting

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

    Join HERO for our annual Leavenworth Tree Lighting Ceremony & Shopping SATURDAY DECEMBER 12, 2015 Leavenworth Christmas Lighting Festival Visitors return year after year for some...

  14. Lighting in Commercial Buildings

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

    light by passing electricity through mercury vapor, which causes the fluorescent coating to glow or fluoresce. High-Efficiency Ballast (HEB): A lighting conservation feature...

  15. Exciting White Lighting

    Broader source: Energy.gov [DOE]

    Windows that emit light and are more energy efficient? Universal Display’s PHOLED technology enables windows that have transparent light-emitting diodes in them.

  16. Modeling operator performance in low task load supervisory domains

    E-Print Network [OSTI]

    Mkrtchyan, Armen A

    2011-01-01

    Currently, numerous automated systems need constant monitoring but require little to no operator interaction for prolonged periods, such as unmanned aerial systems, nuclear power plants, and air traffic management systems. ...

  17. FAQS Job Task Analyses- DOE Aviation Safety Officer

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  18. FAQS Job Task Analyses- Electrical Systems and Safety Oversight

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  19. FAQS Job Task Analyses- Nuclear Explosive Safety Study

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  20. FAQS Job Task Analyses- Confinement Ventilation and Process Gas Treatment

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  1. Heavy traffic analysis for EDF queues with reneging

    E-Print Network [OSTI]

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

    2011-01-01

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

  2. Discrete Mathematical Approaches to Graph-Based Traffic Analysis

    SciTech Connect (OSTI)

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

    2014-04-01

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

  3. Lighting Controls | Department of Energy

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

    Controls Lighting Controls Use lighting controls to automatically turn lights on and off as needed, and save energy. | Photo courtesy of iStockphoto.comMaliketh. Use lighting...

  4. Time Management Managing Time and Tasks

    E-Print Network [OSTI]

    Kunkle, Tom

    Time Management Managing Time and Tasks What is time management? Time can't be managed ­ but you can manage the amount of time you use each day for fun, work, rest, and time spent with others. Why is time management important? You have responsibilities to yourself, to your family and friends, to your

  5. Criteria-Directed Task Scheduling Thomas Wagner

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    to task scheduling called Design-to-Criteria that controls the combinatorics via a satis cing methodology and custom designs schedules to meet a particular client's goal criteria. In Design-to- Criteria, criteria the scheduling problem tractable. We describe the interesting facets of the Design-to-Criteria approach and give

  6. Open Access Task Force Open Access to

    E-Print Network [OSTI]

    Jiang, Huiqiang

    Libraries Initiative launched by National Science Foundation; Social Sciences Research Network (SSRN Library System rgmiller@pitt.edu #12;Open Access Task Force Open Access is... · A family of copyright · The only constraint on reproduction and distribution, and the only role for copyright in this domain

  7. Hierarchical Task Network Planning As Satis ability

    E-Print Network [OSTI]

    Mali, Amol D.

    Hierarchical Task Network Planning As Satis#12;ability #3; Amol Dattatraya Mali Dept. of Elect. Engg. & Computer Science, P.O.Box 784, University of Wisconsin, Milwaukee, WI 53201, USA mali planning [Mali & Kambhampati 98], no empirical results on the performance of the encodings of HTN planning

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. "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

  18. 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

  19. 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

  20. 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

  1. 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

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

    E-Print Network [OSTI]

    Bertini, Robert L.

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

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

    E-Print Network [OSTI]

    Tyagi, Vipin

    2007-09-17

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

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

    E-Print Network [OSTI]

    Yener, Aylin

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

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

    E-Print Network [OSTI]

    California at San Diego, University of

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

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

    E-Print Network [OSTI]

    Akella, Aditya

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

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

    E-Print Network [OSTI]

    Zhang, Zhi-Li

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

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

    E-Print Network [OSTI]

    Lübeck, Sven

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

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

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

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

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

    E-Print Network [OSTI]

    Freytag, Johann-Christoph

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Atiquzzaman, Mohammed

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Bertini, Robert L.

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Weigle, Michele

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

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

    E-Print Network [OSTI]

    Ben-Akiva, Moshe E.

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Lobyaem, Sonchai

    2006-10-30

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

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

    E-Print Network [OSTI]

    Silva, Sathya

    2014-10-08

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

  1. The Recovery Act is "Lighting Up" the streets of Philadelphia

    ScienceCinema (OSTI)

    Nutter, Michael; Gajewski, Katherine; Russell, Toby; Williams, Doug; Best, DeLain;

    2013-05-29

    The Philadelphia Streets Department is converting 58,000 yellow and green traffic signals and will replace approximately 27,000 red LED lights that have come to the end of their useful life. The project will use approximately $3 million in EECBG funds, matched with $3 million in PECO funding, and will save the city approximately $1 million in electric costs each year. For more information on Recovery Act projects funded by the Department of Energy in Pennsylvania: http://www.energy.gov/recovery/pa.htm

  2. The Recovery Act is "Lighting Up" the streets of Philadelphia

    SciTech Connect (OSTI)

    Nutter, Michael; Gajewski, Katherine; Russell, Toby; Williams, Doug; Best, DeLain;

    2010-01-01

    The Philadelphia Streets Department is converting 58,000 yellow and green traffic signals and will replace approximately 27,000 red LED lights that have come to the end of their useful life. The project will use approximately $3 million in EECBG funds, matched with $3 million in PECO funding, and will save the city approximately $1 million in electric costs each year. For more information on Recovery Act projects funded by the Department of Energy in Pennsylvania: http://www.energy.gov/recovery/pa.htm

  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. Pedestrian Friendly Outdoor Lighting

    SciTech Connect (OSTI)

    Miller, N. J.; Koltai, R. N.; McGowan, T. K.

    2013-12-01

    The GATEWAY program followed two pedestrian-scale lighting projects that required multiple mockups – one at Stanford University in California and the other at Chautauqua Institution in upstate New York. The report provides insight into pedestrian lighting criteria, how they differ from street and area lighting criteria, and how solid-state lighting can be better applied in pedestrian applications.

  5. 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

  6. 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

  7. Status Inconsistency, Status Aspiration, Task Mobility, and Preferences for Specialization and Despecialization of Group Task Structure 

    E-Print Network [OSTI]

    Kimberly, James C; Crosbie, Paul V; Lehr, Eugene W

    2015-07-28

    correctly and fifteen points for each hard problem solved correctly. In ex­ amining this system, it should be remembered that the high ability subjects were told that they solved all problems correctly, while the low ability sub­ jects were told... an HH task for reasons of consistency. In the high aspiration treatment, the average could be ex­ ceeded by low ability subjects only if they chose an HH task, which would give them thirty points. In this treatment, the average could be exceeded...

  8. AMBER Task Force February 2008 run report

    E-Print Network [OSTI]

    F. Malbet; G. Duvert; A. Chelli; P. Kern

    2008-08-08

    AMBER was installed in March 2004 in the VLTI focal lab of the VLT observatory in Cerro Paranal run by ESO. Since then, there have been 4 commissioning runs and additional VLTI infrastructure installed (IRIS, FINITO and ATs,...), but AMBER is not yet fulfilling all its initial specifications and some important primary science objectives cannot be achieved. At the consortium level, an action plan has been decided in Oct 2007 that created an AMBER Task Force (ATF) to understand and possibly cure the eventual technical issues. The objectives of the February 2008 run was mainly to bring AMBER into contractual specifications the accuracy of the absolute visibility, of the differential and of the closure phase through a fundamental analysis of the instrument status and limitations. This report is the official report of the AMBER Task Force.

  9. Tips: Lighting | Department of Energy

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

    Tips: Lighting Tips: Lighting Lighting choices save you money. Energy-efficient light bulbs are available in a wide variety of sizes and shapes. Lighting choices save you money....

  10. 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...

  11. Energy Efficiency Through Lighting Upgrades

    SciTech Connect (OSTI)

    Kara Berst; Maria Howeth

    2010-06-01

    Lighting upgrades including neon to LED, incandescent to CFL's and T-12 to T-8 and T-5's were completed through this grant. A total of 16 Chickasaw nation facilities decreased their carbon footprint because of these grant funds. Calculations used were based on comparing the energy usage from the previous year�¢����s average and the current energy usage. For facilities without a full year's set of energy bills, the month after installation was compared to the same month from the previous year. Overall, the effect the lighting change-outs had for the gaming centers and casinos far exceeded expectations. For the Madill Gaming Center; both an interior and exterior upgrade was performed which resulted in a 31% decrease in energy consumption. This same reduction was seen in every facility that participated in the grant. Just by simply changing out light bulbs to newer energy efficient equivalents, a decrease in energy usage can be achieved and this was validated by the return on investment seen at Chickasaw Nation facilities. Along with the technical project tasks were awareness sessions presented at Chickasaw Head Starts. The positive message of environmental stewardship was passed down to head start students and passed along to Chickasaw employees. Excitement was created in those that learned what they could do to help reduce their energy bills and many followed through and took the idea home. For a fairy low cost, the general public can also use this technique to lower their energy consumption both at home and at work. Although the idea behind the project was somewhat simple, true benefits have been gained through environmental awareness and reductions of energy costs.

  12. Deficiencies of Lighting Codes and Ordinances in Controlling Light Pollution from Parking Lot Lighting Installations

    E-Print Network [OSTI]

    Royal, Emily

    2012-05-31

    The purpose of this research was to identify the main causes of light pollution from parking lot electric lighting installations and highlight the deficiencies of lighting ordinances in preventing light pollution. Using an industry-accepted lighting...

  13. OpenGL Lighting 13. OpenGL Lighting

    E-Print Network [OSTI]

    McDowell, Perry

    OpenGL Lighting 13. OpenGL Lighting · Overview of Lighting in OpenGL In order for lighting to have an effect in OpenGL, two things are required: A light An object to be lit Lights can be set to any color determine how they reflect the light which hits them. The color(s) of an object is determined

  14. Integrated Robot Task and Motion Planning in the Now

    E-Print Network [OSTI]

    Kaelbling, Leslie Pack

    2012-06-29

    This paper provides an approach to integrating geometric motion planning with logical task planning for long-horizon tasks in domains with many objects. We propose a tight integration between the logical and geometric ...

  15. Dayrl Briggs Task Leader/Lead Cleanroom Engineer

    E-Print Network [OSTI]

    Pennycook, Steve

    Dayrl Briggs Task Leader/Lead Cleanroom Engineer Nanofabrication Research Laboratory Center Experience: 2006­Present Task Leader, Lead Cleanroom Engineer, Lab Space Manager Center for Nanophase sensitivity. Professional Activities 1. Cleanroom Technical Operations · Manage the daily operation of the NRL

  16. FracFocus 2.0 Task Force Report

    Broader source: Energy.gov [DOE]

    This report presents the findings and recommendations for the Secretary of Energy Advisory Board (SEAB) Task Force on FracFocus. The Task Force was charged with reviewing how FracFocus 2.0 houses...

  17. H2FIRST Reference Station Design Task: Project Deliverable 2...

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

    Reference Station Design Task: Project Deliverable 2-2 H2FIRST Reference Station Design Task: Project Deliverable 2-2 This H2FIRST project report, published in April 2015, presents...

  18. 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

  19. CONNECTED LIGHTING SYSTEMS MEETING

    Office of Energy Efficiency and Renewable Energy (EERE)

    There is a lot of buzz today about the Internet of Things and the convergence of intelligent controllable light sources, communication networks, sensors, and data exchange in future lighting...

  20. Fast Light, Fast Neutrinos?

    E-Print Network [OSTI]

    Kevin Cahill

    2011-10-10

    In certain media, light has been observed with group velocities faster than the speed of light. The recent OPERA report of superluminal 17 GeV neutrinos may describe a similar phenomenon.

  1. Kyler Nelson Light Timer

    E-Print Network [OSTI]

    Kachroo, Pushkin

    designated by the user, the Arduino board will dim the light to save energy. The user designates the time instance, the light is dimmed using pulse width modulation (PWM) in the Arduino's pin number 11

  2. Automatic lighting controls demonstration

    SciTech Connect (OSTI)

    Rubinstein, F.; Verderber, R.

    1990-03-01

    The purpose of this work was to demonstrate, in a real building situation, the energy and peak demand reduction capabilities of an electronically ballasted lighting control system that can utilize all types of control strategies to efficiently manage lighting. The project has demonstrated that a state-of-the-art electronically ballasted dimmable lighting system can reduce energy and lighting demand by as least 50% using various combinations of control strategies. By reducing light levels over circulation areas (tuning) and reducing after hours light levels to accommodate the less stringent lighting demands of the cleaning crew (scheduling), lighting energy consumption on weekdays was reduced an average of 54% relative to the initial condition. 10 refs., 14 figs., 3 tabs.

  3. IEA Bioenergy task 40 Country report for the Netherlands

    E-Print Network [OSTI]

    1 IEA Bioenergy task 40 ­ Country report for the Netherlands Update 2006 Martin Junginger Marc de-energy trade #12;IEA Bioenergy task 40 Country report for the Netherlands ­update 2006 i IEA Bioenergy Task 40.Junginger@chem.uu.nl, A.Faaij@chem.uu.nl Report NWS-E-2006-XX ISBN 90-73958-96-2 September 2006 #12;IEA Bioenergy task 40

  4. Modeling Task Systems Using Parameterized Partial Orders Fred Houben

    E-Print Network [OSTI]

    Vaandrager, Frits

    , and that there exists a hierarchical relationship between tasks. For instance, a manufacturing order of a beer brewery

  5. V.P. Biden Hosts the Middle Class Task Force

    Broader source: Energy.gov [DOE]

    Secretary Chu will join Vice President Biden at the White House as he hosts a Middle Class Task Force event.

  6. NREL Job Task Analysis: Retrofit Installer Technician (Revised)

    SciTech Connect (OSTI)

    Kurnik, C.; Woodley, C.

    2012-04-01

    A summary of job task analyses for the position of retrofit installer technician when conducting weatherization work on a residence.

  7. Lighting and Daylight Harvesting 

    E-Print Network [OSTI]

    Bos, J.

    2011-01-01

    in 1992 to serve the lighting design needs of the architectural and interior design communities. With over fifty years of combined experience, our areas of expertise range from architectural and theatrical lighting to custom fixture design. Bos... Lighting Design We are active members of the International Association of Lighting Designers, the American Institute of Architects, the Illuminating Engineering Society, International Dark Skies Association and the United States Green Building Council...

  8. LED Lighting Retrofit 

    E-Print Network [OSTI]

    Shaw-Meadow, N.

    2011-01-01

    kWh is the one that never gets used? ?Dedicated to making environmentally responsible products? Ringdale Introduction LED Roadway Lighting Better Light, Fewer Watts. Period. Nathan Shaw-Meadow LED Lighting Specialist Ringdale ActiveLED ESL.../exponential efficiency growth often deters investment today 7 Challenges to Implementation ESL-KT-11-11-57 CATEE 2011, Dallas, Texas, Nov. 7 ? 9, 2011 ? Municipal Street Light Case Study 8 ? Replaced 400W High Pressure Sodium fixtures with 52W Active...

  9. Light emitting device comprising phosphorescent materials for white light generation

    DOE Patents [OSTI]

    Thompson, Mark E.; Dapkus, P. Daniel

    2014-07-22

    The present invention relates to phosphors for energy downconversion of high energy light to generate a broadband light spectrum, which emit light of different emission wavelengths.

  10. And the Oscar for Sustainable Mobile Lighting Goes to.... Lighting...

    Energy Savers [EERE]

    And the Oscar for Sustainable Mobile Lighting Goes to.... Lighting Up Operations with Hydrogen and Fuel Cell Technology And the Oscar for Sustainable Mobile Lighting Goes to.......

  11. Collaborative Construction of Task Activity: Coordinating Multiple Resources in a

    E-Print Network [OSTI]

    Sheridan, Jennifer

    Collaborative Construction of Task Activity: Coordinating Multiple Resources in a High School of the moment-to- moment construction of task, this study draws attention to complex yet taken-for- granted connections, knowing how to collaboratively construct a task. This article documents the collaborative

  12. Allowing Non-Submodular Score Functions in Distributed Task Allocation

    E-Print Network [OSTI]

    How, Jonathan P.

    Allowing Non-Submodular Score Functions in Distributed Task Allocation Luke Johnson, Han-Lim Choi the true non-submodular score functions. I. INTRODUCTION Distributed and decentralized task allocation for provable performance and convergence guarantees in distributed task allocation algorithms. However, some

  13. Task-Centered Design User-Centered Design

    E-Print Network [OSTI]

    Golub, Evan

    . · Possibly in very specific niche markets. ­ Realistic example tasks; concrete, detailed scenario examples1 Task-Centered Design User-Centered Design Image credit: http://worrydream.com/ABriefRantOnTheFutureOfInteractionDesign/ #12;2 Task and User Centered Design When designing new hardware and/or software, it is important

  14. Efficient Light Extraction from Organic Light-Emitting Diodes Using Plasmonic Scattering Layers

    SciTech Connect (OSTI)

    Rothberg, Lewis

    2012-11-30

    Our project addressed the DOE MYPP 2020 goal to improve light extraction from organic light-emitting diodes (OLEDs) to 75% (Core task 6.3). As noted in the 2010 MYPP, “the greatest opportunity for improvement is in the extraction of light from [OLED] panels”. There are many approaches to avoiding waveguiding limitations intrinsic to the planar OLED structure including use of textured substrates, microcavity designs and incorporating scattering layers into the device structure. We have chosen to pursue scattering layers since it addresses the largest source of loss which is waveguiding in the OLED itself. Scattering layers also have the potential to be relatively robust to color, polarization and angular distributions. We note that this can be combined with textured or microlens decorated substrates to achieve additional enhancement.

  15. Departmental Response: SEAB Task Force Recommendations on

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-in electricLaboratoryof Energy ElevenLGJuly 2013Response: SEAB Task Force

  16. Task Force Approach | 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:Financing ToolInternational Affairs, Before theFebruary 1,7/109TESLADemand WaterAssessment andTask

  17. Task force appendix cover.indd

    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. Coal StocksSuppliers Tag:TakeSeptemberof Energy Task to

  18. 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...

  19. 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), ...

  20. 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