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Sample records for air traffic management

  1. 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

  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. 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

  4. 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

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

    E-Print Network [OSTI]

    Johnson, Chris

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

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

    E-Print Network [OSTI]

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

    2012-01-01

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Johnson, Chris

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

  9. 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

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

    E-Print Network [OSTI]

    Johnson, Chris

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

  11. Eighth USA/Europe Air Traffic Management Research and Development Seminar (ATM2009) Effects of Fuel Prices and Slot Controls on Air

    E-Print Network [OSTI]

    1 Eighth USA/Europe Air Traffic Management Research and Development Seminar (ATM2009) Effects@gmu.edu; lsherry@gmu.edu; akara@gmu.edu; gcaldero@gmu.edu Center for Air Transportation Systems Research, George

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

    E-Print Network [OSTI]

    Phu, Thi Vu

    2008-01-01

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

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

    E-Print Network [OSTI]

    Pappas, George J.

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

  14. Submitted Eighth USA/Europe Air Traffic Management Research and Development Seminar (ATM2009) Trading-off Multi-Dimensional NAS Performance

    E-Print Network [OSTI]

    Submitted Eighth USA/Europe Air Traffic Management Research and Development Seminar (ATM2009 Schaar, Ph.D. Candidate Center for Air Transportation Systems Research George Mason University Fairfax, VA, USA dschaar@gmu.edu Lance Sherry, Ph.D. Center for Air Transportation Systems Research George

  15. Understanding the Contribution of Degraded Modes of Operation as a Cause of Incidents and Accidents in Air Traffic Management

    E-Print Network [OSTI]

    Johnson, Chris

    of ground movement radar; factors which contributed to a degraded working environment. The Überlingen mid-air collision occurred when Air Traffic Control Officers (ATCOs) had to perform the manual correlation of radar failures. Hence most applications are routinely operated for short periods of time with some form

  16. 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 ...

  17. 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

  18. Modeling Safety Case Evolution Examples from the Air Traffic Management Domain

    E-Print Network [OSTI]

    Felici, Massimo

    to form a complete functional and operational environment, covering ground segments and aerospace. Industry will be involved as early as possible in the lifecycle of ATM projects. EURO- CONTROL manages safety functions. Unfortunately, these complex interactions may give rise to catastrophic failures

  19. 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. ...

  20. 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

  1. 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 ...

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

    E-Print Network [OSTI]

    Pfeil, Diana Michalek

    2011-01-01

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

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

    E-Print Network [OSTI]

    Pappas, George J.

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

  4. 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

  5. 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

  6. 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

  7. 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 ...

  8. 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

  9. 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.

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

    E-Print Network [OSTI]

    Bertini, Robert L.

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

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

    E-Print Network [OSTI]

    Bertini, Robert L.

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

  12. 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

  13. Air Traffic Operations | GE Global Research

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News Publications Traditional KnowledgeAgenda Agenda NERSC UserAgustin Mihi andAir Leaks»

  14. 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 ...

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

    E-Print Network [OSTI]

    2013-01-01

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

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

    E-Print Network [OSTI]

    Sheridan, Scott

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

  17. 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

  18. 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

  19. 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

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

    E-Print Network [OSTI]

    Reynolds, Tom George, 1972-

    2004-01-01

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

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

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

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

  2. 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 ...

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

    E-Print Network [OSTI]

    Davison, Hayley

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

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

    E-Print Network [OSTI]

    Zou, Feng, 1977-

    2004-01-01

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

  5. innovation.asu.edu air transportation management

    E-Print Network [OSTI]

    innovation.asu.edu air transportation management aeronautical management technology the polytechnic school #12;undergraduate degree program B.S., aeronautical management technology, concentration in air in Aeronautical Management Technology, provides students with a strong foundation of aviation concepts, including

  6. ForPeerReview Traffic Congestion and Air Pollution Exposure for Motorists

    E-Print Network [OSTI]

    Bertini, Robert L.

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

  7. Effect modification by residential traffic-related air pollution

    E-Print Network [OSTI]

    2014-01-01

    with application to air pollution exposures. Stat Med. 2005;G, Segala C, et al. Air pollution, asthma attacks, andWilkins Asthma and Air Pollution 38. Brauer M. How much, how

  8. Effect modification by residential traffic-related air pollution

    E-Print Network [OSTI]

    2014-01-01

    A. Case-crossover analysis of air pollution health effects:Lumley T. Case-crossover analyses of air pollution exposure

  9. 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

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

    E-Print Network [OSTI]

    Elsayed, Khaled Fouad

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

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

    E-Print Network [OSTI]

    Narkawicz, Anthony J.

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

  13. Using multi-agent negotiation techniques for the autonomous resolution of air traffic conflicts 

    E-Print Network [OSTI]

    Wollkind, Steven Robert

    2005-02-17

    of MASTER OF SCIENCE December 2004 Major Subject: Computer Science USING MULTI-AGENT NEGOTIATION TECHNIQUES FOR THE AUTONOMOUS RESOLUTION OF AIR TRAFFIC CONFLICTS A Thesis by STEVEN WOLLKIND Submitted to Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE Approved as to style and content by: Thomas R. Ioerger (Chair of Committee) Jianer Chen (Member) John Valasek (Member) Valerie Taylor (Head of Department) December 2004 Major Subject: Computer Science iii...

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

    E-Print Network [OSTI]

    Shields, Kyra Naumoff

    Abstract Background While air pollution exposures have been linked to cardiovascular outcomes, the contribution from acute gas and particle traffic-related pollutants remains unclear. Using a panel study design with repeated ...

  15. 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

  16. 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

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

    E-Print Network [OSTI]

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

    2002-01-01

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

  18. 1Travel Time Estimation for Traffic Management and Traveler InformationTravel Time Estimation for Traffic Management and Traveler Information Robert L. BertiniRobert L. Bertini

    E-Print Network [OSTI]

    Bertini, Robert L.

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

  19. 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

  20. Keeping British Columbia "the best place on Earth": Reducing the carbon footprint of air traffic in British Columbia

    E-Print Network [OSTI]

    Northern British Columbia, University of

    1 Keeping British Columbia "the best place on Earth": Reducing the carbon footprint of air traffic the aviation industry in British Columbia. Specifically, I calculate the carbon footprint of civil aviation). Aviation is not only intricately integrated into the global economy but also one of the most carbon

  1. MCCLERNON, CHRISTOPHER KYLE. Human performance effects of adaptive automation of various air traffic control information processing functions. (Under the

    E-Print Network [OSTI]

    Kaber, David B.

    ABSTRACT MCCLERNON, CHRISTOPHER KYLE. Human performance effects of adaptive automation of various.) Advanced forms of automation are being considered for application to Air Traffic Control (ATC) in order there is only limited knowledge of the implications of, for example, Adaptive Automation (AA) on controller

  2. NASA/TM2012-217585 Air Traffic Management Technology

    E-Print Network [OSTI]

    analysis. CONTRACTOR REPORT. Scientific and technical findings by NASA-sponsored contractors and grantees

  3. Cloud-Based Air Traffic Management Announcement | GE Global Research

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

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

  4. Future Air traffic management Concepts Evaluation Tool (FACET) - Energy

    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)Forthcoming UpgradesArea:Benefits of

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

    E-Print Network [OSTI]

    Shihada, Basem

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

  6. Traffic Management and Net Neutrality in Wireless Networks

    E-Print Network [OSTI]

    Jordan, Scott

    2011-01-01

    and resource allocation in wireless multimedia networks.between wired and wireless networks, and hence on potentialManagement for Wireless Networks. Artech House Publishers,

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

    E-Print Network [OSTI]

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

  8. Childhood Cancer and Traffic-Related Air Pollution Exposure in Pregnancy and Early Life

    E-Print Network [OSTI]

    2013-01-01

    al. 2008) or sophisticated air pollution modeling strategiestraffic-related air pollution expo- sures in relation toassocia- tions between air pollution and cancer are not

  9. Influence of air conditioning management on heat island in Paris air street temperatures

    E-Print Network [OSTI]

    Influence of air conditioning management on heat island in Paris air street temperatures Brice 2012 Available online 13 March 2012 Keywords: Air conditioning Heat island mitigation Urban heat island killer'', is exacerbated in urban areas owing to the heat island effect. Air conditioning (A/C) is a key

  10. Overview of Air Traffic Control using an SIMD COTS system Stewart Reddaway

    E-Print Network [OSTI]

    to the application and some of the solution details. 1. Introduction This paper provides an overview analysis of Air

  11. The Impact of Information Technologies on Air Transportation

    E-Print Network [OSTI]

    Hansman, R. John

    The Air Transportation System and several key subsystems including the Aircraft, Airline, and Air Traffic Management are modeled as interacting control loops. The impact of Information Technologies on each of these subsystems ...

  12. Advanced Management of Compressed Air Systems

    Office of Energy Efficiency and Renewable Energy (EERE)

    Find out how a compressed air system works and the benefits of optimal compressed air system performance. This training is designed to help end users as well as industry solution providers learn...

  13. Singer et al. Volume 49 February 1999 Journal of the Air & Waste Management Association 125

    E-Print Network [OSTI]

    Harley, Robert

    Singer et al. Volume 49 February 1999 Journal of the Air & Waste Management Association 125 ISSN 1047-3289 J. Air & Waste Manage. Assoc. 49:125-135 Copyright 1999 Air & Waste Management Association

  14. Kean, Sawyer, and Harley Volume 50 November 2000 Journal of the Air & Waste Management Association 1929

    E-Print Network [OSTI]

    Harley, Robert

    Kean, Sawyer, and Harley Volume 50 November 2000 Journal of the Air & Waste Management Association 1929 ISSN 1047-3289 J. Air & Waste Manage. Assoc. 50:1929-1939 Copyright 2000 Air & Waste Management

  15. Consideration of the environmental impact of aircraft has become critical in commercial aviation. The continued growth of air traffic has caused increasing demands to reduce aircraft emissions,

    E-Print Network [OSTI]

    Papalambros, Panos

    aviation. The continued growth of air traffic has caused increasing demands to reduce aircraft emissions airframe, engine and mission. The environmental metrics considered in this investigation are CO2 emissions -- which are proportional to fuel burn -- and landing- takeoff NOx emissions. The results are compared

  16. Portfolio management in the Air Force : current status and opportunities

    E-Print Network [OSTI]

    Morgan, Dave B

    2011-01-01

    There are hundreds of weapons programs, under the management of the United States Air Force worth billions of dollars. These programs are being developed to fulfill a need in the U.S. defense strategy. Bringing these weapon ...

  17. Managing On-air Ad Inventory in Broadcast Television

    E-Print Network [OSTI]

    Bollapragada, Srinivas; Mallik, Suman

    2008-01-01

    Motivated by the experiences of the National Broadcasting Company (NBC), we present an analytical model for managing on-air ad inventory in broadcast television. The ad inventory in this industry is priced based on rating ...

  18. 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

  19. Cost estimates for near-term depolyment of advanced traffic management systems. Final report

    SciTech Connect (OSTI)

    Stevens, S.S.; Chin, S.M.

    1993-02-15

    The objective of this study is to provide cost est engineering, design, installation, operation and maintenance of Advanced Traffic Management Systems (ATMS) in the largest 75 metropolitan areas in the United States. This report gives estimates for deployment costs for ATMS in the next five years, subject to the qualifications and caveats set out in following paragraphs. The report considers infrastructure components required to realize fully a functional ATMS over each of two highway networks (as discussed in the Section describing our general assumptions) under each of the four architectures identified in the MITRE Intelligent Vehicle Highway Systems (IVHS) Architecture studies. The architectures are summarized in this report in Table 2. Estimates are given for eight combinations of highway networks and architectures. We estimate that it will cost between $8.5 Billion (minimal network) and $26 Billion (augmented network) to proceed immediately with deployment of ATMS in the largest 75 metropolitan areas. Costs are given in 1992 dollars, and are not adjusted for future inflation. Our estimates are based partially on completed project costs, which have been adjusted to 1992 dollars. We assume that a particular architecture will be chosen; projected costs are broken by architecture.

  20. Total Building Air Management: When Dehumidification Counts 

    E-Print Network [OSTI]

    Chilton, R. L.; White, C. L.

    1996-01-01

    within the zone rise. The choice with this type of equipment can often be between cold and dry, or warm and damp. As an alternative to zone air-conditioning systems, desiccant systems are often employed along with the cooling systems to dehumidify... effectively dehumidify but with the penalty of increased first cost and high maintenance 3. Most conventional methods of dehumidification increase maintenance costs, either of the facility or of the dehumidification equipment itself Equipment...

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

    E-Print Network [OSTI]

    Patriksson, Michael

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

  2. Deshusses, Johnson, and Leson Volume 49 August 1999 Journal of the Air & Waste Management Association 973

    E-Print Network [OSTI]

    Deshusses, Johnson, and Leson Volume 49 August 1999 Journal of the Air & Waste Management Association 973 ISSN 1047-3289 J. Air & Waste Manage. Assoc. 49:973-979 Copyright 1999 Air & Waste Management applica- tions for biological waste air treatment. However, this type of application has a high rate

  3. Deshusses and Webster Volume 50 November 2000 Journal of the Air & Waste Management Association 1947

    E-Print Network [OSTI]

    Deshusses and Webster Volume 50 November 2000 Journal of the Air & Waste Management Association 1947 ISSN 1047-3289 J. Air & Waste Manage. Assoc. 50:1947-1956 Copyright 2000 Air & Waste Management-scale biotrickling filter for waste air treatment is de- scribed and compared with a previous conceptual scale

  4. Mitochondrial Genetic Background Modifies the Relationship between Traffic-Related Air Pollution Exposure and Systemic Biomarkers of Inflammation

    E-Print Network [OSTI]

    2013-01-01

    N, Vaziri ND (2011) Air pollution and circulating biomarkersParticulate matter air pollution and cardiovascular disease:to fine particulate air pollution. Circulation 114: 2443–

  5. US Air Force Facility Energy Management Program - How Industry Can Help the Air Force Meet Its Objectives 

    E-Print Network [OSTI]

    Holden, P. C.; Kroop, R. H.

    1983-01-01

    This paper describes the Air Force's facility energy management program including how industry can help the Air Force meet its facility energy objectives. Background information on energy use and energy conservation efforts ...

  6. Association between Local Traffic-Generated Air Pollution and Preeclampsia and Preterm Delivery in the South Coast Air Basin of California

    E-Print Network [OSTI]

    Wu, Jun; Ren, Cizao; Delfino, Ralph J; Chung, Judith; Wilhelm, Michelle; Ritz, Beate

    2009-01-01

    been associated with air pollution in only two recent U.S.indoor, and community air pollution research. Environ Healthvariation of outdoor air pollution. Atmos Environ 42( 33):

  7. A Framework for Classification of Traffic Management Practices as Reasonable or Unreasonable

    E-Print Network [OSTI]

    Jordan, Scott

    2010-01-01

    c management ACM Transactions on Internet Technology, Vol.management practices and discuss ACM Transactions on Internet Technology,network management. ACM Transactions on Internet Technology,

  8. 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...

  9. 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;

  10. Managing the Drivers of Air Flow and Water Vapor Transport in Existing Single Family Homes (Revised)

    SciTech Connect (OSTI)

    Cummings, J.; Withers, C.; Martin, E.; Moyer, N.

    2012-10-01

    This document focuses on managing the driving forces which move air and moisture across the building envelope. While other previously published Measure Guidelines focus on elimination of air pathways, the ultimate goal of this Measure Guideline is to manage drivers which cause air flow and water vapor transport across the building envelope (and also within the home), control air infiltration, keep relative humidity (RH) within acceptable limits, avoid combustion safety problems, improve occupant comfort, and reduce house energy use.

  11. Post processing large integer programming problems in air traffic flow management 

    E-Print Network [OSTI]

    Gangadharan, Rajesh

    1994-01-01

    of flights with delays falling within a certain range. The frequency disl. ribui ions for thc cumulative delays for TFlvl3 and TFM4 are shown in Tables III and IV respec- tively. 30 Table IV. Frequency distribution of delays for TFM4 Upper limit...

  12. Volume 47 September 1997 Journal of the Air & Waste Management Association 969 Zuber, Dunn, and DeshussesISSN 1047-3289 J. Air & Waste Manage. Assoc. 47:969-975

    E-Print Network [OSTI]

    Volume 47 September 1997 Journal of the Air & Waste Management Association 969 Zuber, Dunn, and DeshussesISSN 1047-3289 J. Air & Waste Manage. Assoc. 47:969-975 Copyright 1997 Air & Waste Management for the elimination of methylene chloride (or dichloromethane) vapors from waste air, and the results used herein

  13. Building Air Quality Alliance Program fro Building Management 

    E-Print Network [OSTI]

    Kettler, G. J.

    1998-01-01

    IAQ increases. EPA studies rank indoor air pollution among the top five risks of environmental threats to public health. Guidance on achieving acceptable air quality and on preventing indoor air pollution is available. The 199 1 EPAMIOSH guide...

  14. Chapter 21 Air Quality

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

    are in the PortlandVancouver metro area where there are more industrial sources of air pollution and higher levels of traffic congestion that create more air emissions....

  15. Accepted on August 29, 2008 for publication in the Journal of the Air & Waste Management Association

    E-Print Network [OSTI]

    Boyer, Edmond

    The accuracy of most air pollution modeling and the efficiency of emission standard reinforcement depend and might mislead the political discussions. The European MEET (Methodologies for Estimating air pollutant1 Accepted on August 29, 2008 for publication in the Journal of the Air & Waste Management

  16. 14 em august 2013 awma.org Copyright 2013 Air & Waste Management Association

    E-Print Network [OSTI]

    Rohs, Remo

    ) exposure to air pollution, and (3) social and health vulnerability. These three scores are then added and playgrounds because these are land uses where air pollution sensitive populations (very young, elderly14 em august 2013 awma.org Copyright 2013 Air & Waste Management Association em · feature Whether

  17. Cattle Feedlot Waste Management Practices -For Water and Air Pollution Control

    E-Print Network [OSTI]

    Mukhtar, Saqib

    Cattle Feedlot Waste Management Practices - For Water and Air Pollution Control John M. Sweeten* Water Pollution and Wastewater Management This bulletin outlines some of the basic regulatory in the potential for both water and air pollution. To prevent potential problems from developinginto real problems

  18. 14 em august 2013 awma.org Copyright 2013 Air & Waste Management Association

    E-Print Network [OSTI]

    Zhou, Xianghong Jasmine

    14 em august 2013 awma.org Copyright 2013 Air & Waste Management Association em · feature Whether in the Department of Environ- mental Science, Policy, and Management and the School of Public Health Spatial Approaches to Environmental Disparities #12;august 2013 em 15awma.org Copyright 2013 Air & Waste

  19. 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...

  20. Pacific Gas and Electric Company's Compressed Air Management Program: A Performance Assessment Approach to Improving Industrial Compressed Air System Operation and Maintenance 

    E-Print Network [OSTI]

    Qualmann, R. L.; Zeller, W.; Baker, M.

    2002-01-01

    The Compressed Air Management Program (CAMP) provides Pacific Gas and Electric's (PG&E's) large industrial customers with measurement-based performance assessments of their compressed air systems. Under this program, the customer's system...

  1. Air Pollution Socio-Economic

    E-Print Network [OSTI]

    Minnesota, University of

    Traffic Air Pollution and Socio-Economic Status Gregory C Pratt PhD Kristie Ellickson PhD #12 · Relationships #12;Living near traffic increases exposure to air pollution and is associated with adverse health exposed to traffic and air pollution. They are also more vulnerable and have an increased risk of adverse

  2. Energy Efficient Process Heating: Managing Air Flow Kevin Carpenter and Kelly Kissock

    E-Print Network [OSTI]

    Kissock, Kelly

    Energy Efficient Process Heating: Managing Air Flow Kevin Carpenter and Kelly Kissock Department important aspect to consider when attempting to improve the energy efficiency of most process heating. Infiltration air enters the system through openings in the system shell. For energy- efficient process heating

  3. Frey, H.C., and B. Hubbell, "A Risk-based Assessment And Management Framework For Multipollutant Air Quality," Paper 2009-A-235-AWMA, Proceedings, 102nd Annual Conference and Exhibition, Air & Waste Management Association, Detroit,

    E-Print Network [OSTI]

    Frey, H. Christopher

    Frey, H.C., and B. Hubbell, "A Risk-based Assessment And Management Framework For Multipollutant Air Quality," Paper 2009-A-235-AWMA, Proceedings, 102nd Annual Conference and Exhibition, Air & Waste Management Association, Detroit, Michigan, June 16-19, 2009. A Risk-based Assessment And Management Framework

  4. Technology Transition in the National Air Transportation System: Market Failure and Game Theoretic Analysis with Application to ADS-B

    E-Print Network [OSTI]

    Hu, Xiaojie

    Air traffic demand is increasing, but capacity is constrained by an antiquated air traffic control (ATC) infrastructure. The number of air traffic passengers in the U.S. is expected to grow from 738 ...

  5. Major: Ecological Systems Design, Air Quality Control and Waste Management

    E-Print Network [OSTI]

    Giger, Christine

    Laboratory: Computer exercises (Pfister) · Regionalized environmental assessment of global power plants of Warsaw, Poland · Environmental Impact of Virtual Meetings including Rebound Effects · Carbon Footprint · Evaluation of future designs of treatment and recycling plants and waste management systems Skills after

  6. Congestion pricing applications to manage high temporal demand for public services and their relevance to air space management

    E-Print Network [OSTI]

    Hoffman, Karla

    carbon emissions, and creating new urban living spaces. We next examine other applications of congestion and their relevance to air space management Karla Hoffman a,n , Frank Berardino b , George Hunter c a George Mason, and peak use of energy resources. The paper ends with a proposal for a two-staged approach

  7. Understanding the Interaction Between Safety Management and the `Can Do' Attitude in Air Traffic Management: Modelling the Causes of the Ueberlingen Mid-Air Collision

    E-Print Network [OSTI]

    Johnson, C.W.

    Johnson,C.W. F. Reuzeau and K. Corker, (eds.), Proceedings of Human-Computer Interaction in Aerospace 2006, Seattle, USA, 20-22 September 2006, Cepadues Editions, Toulouse, France pp 105-113

  8. 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 ...

  9. Burbank Transportation Management Organization: Impact Analysis

    SciTech Connect (OSTI)

    Brown, E.; Aabakken, J.

    2006-11-01

    The Burbank Transportation Management Organization (BTMO), a private, membership-based, nonprofit organization dedicated to traffic reduction and air quality improvement, contracted with the National Renewable Energy Laboratory (NREL), a U.S. Department of Energy-owned, contractor-operated national laboratory, to analyze its member programs and their benefits and effects. This report uses trip data collected by the BTMO, and defines and implements a methodology for quantifying non-traffic benefits such as gasoline savings, productivity, and pollution reduction.

  10. Abstract: Air, Thermal and Water Management for PEM Fuel Cell Systems

    SciTech Connect (OSTI)

    Mark K. Gee

    2008-10-01

    PEM fuel cells are excellent candidates for transportation applications due to their high efficiencies. PEM fuel cell Balance of Plant (BOP) components, such as air, thermal, and water management sub-systems, can have a significant effect on the overall system performance, but have traditionally not been addressed in research and development efforts. Recognizing this, the U.S. Department of Energy and Honeywell International Inc. are funding an effort that emphasizes the integration and optimization of air, thermal and water management sub-systems. This effort is one of the major elements to assist the fuel cell system developers and original equipment manufacturers to achieve the goal of an affordable and efficient power system for transportation applications. Past work consisted of: (1) Analysis, design, and fabrication of a motor driven turbocompressor. (2) A systematic trade study to select the most promising water and thermal management systems from five different concepts (absorbent wheel humidifier, gas to gas membrane humidifier, porous metal foam humidifier, cathode recycle compressor, and water injection pump.) This presentation will discuss progress made in the research and development of air, water and thermal management sub-systems for PEM fuel cell systems in transportation applications. More specifically, the presentation will discuss: (1) Progress of the motor driven turbocompressor design and testing; (2) Progress of the humidification component selection and testing; and (3) Progress of the thermal management component preliminary design. The programs consist of: (1) The analysis, design, fabrication and testing of a compact motor driven turbocompressor operating on foil air bearings to provide contamination free compressed air to the fuel cell stack while recovering energy from the exhaust streams to improve system efficiency. (2) The analysis, design, fabrication and testing of selected water and thermal management systems and components to improve system efficiency and reduce packaging size.

  11. CoolAir: Temperature-and Variation-Aware Management for Free-Cooled Datacenters

    E-Print Network [OSTI]

    Bianchini, Ricardo

    CoolAir: Temperature- and Variation-Aware Management for Free-Cooled Datacenters ´I~nigo Goiri absolute temperatures, wide temperature variations, and high humidity when datacenters are sited at certain locations. Prior research (in non-free-cooled datacenters) has shown that high temperatures and/or wide

  12. AIR QUALITY MANAGEMENT IN THE YEAR 2020: AIRSHED EMISSION LIMITS FOR THE

    E-Print Network [OSTI]

    AS A NATURAL RESOURCE Management of an airshed is similar to that of natural resources such as forests, fresh by the present report benefited from inputs from the following: Dr. Sverre Vedal % human health effects of air and Petroleum Resources FVRD: Fraser Valley Regional District GVRD: Greater Vancouver Regional District MELP

  13. CASANZ Conference Linking Air Pollution, Science, Policy and Management -Newcastle, NSW Australia 23-27 Nov 2003 Page 1 of 5

    E-Print Network [OSTI]

    Kentucky, University of

    CASANZ Conference ­ Linking Air Pollution, Science, Policy and Management - Newcastle, NSW related to ventilation rate changes. Keywords: Chicken, Ventilation, Air Quality, Poultry. 1. Introduction about the industry's impact on local and regional air quality. Quantitative estimates are also required

  14. 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

  15. A Multiagent Approach to Managing Air Traffic Flow Adrian K. Agogino (adrian.k.agogino@nasa.gov)

    E-Print Network [OSTI]

    Tumer, Kagan

    Aviation Administration (FAA) today. FAA estimates put weather, routing decisions and airport condition specific location in 2D space) and has one of three actions: setting separation between airplanes, ordering artificial and real historical data from the Chicago and New York airspaces show that agents receiving

  16. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 43, NO. 4, APRIL 1998 509 Conflict Resolution for Air Traffic Management

    E-Print Network [OSTI]

    Pappas, George J.

    safe conflict resolution maneuvers. The method models the aircraft and the maneuver as a hybrid control aircraft to fly directly to the destination and take advantage of favorable winds. This problem centrally by ATC. In congested areas, such as the regions close to urban airports referred to as Terminal

  17. Managing the Drivers of Air Flow and Water Vapor Transport in Existing Single-Family Homes

    SciTech Connect (OSTI)

    Cummings, James; Withers, Charles; Martin, Eric; Moyer, Neil

    2012-10-01

    This report is a revision of an earlier report titled: Measure Guideline: Managing the Drivers of Air Flow and Water Vapor Transport in Existing Single-Family Homes. Revisions include: Information in the text box on page 1 was revised to reflect the most accurate information regarding classifications as referenced in the 2012 International Residential Code. “Measure Guideline” was dropped from the title of the report. An addition was made to the reference list.

  18. Marr, Morrison, Nazaroff, and Harley Volume 48 October 1998 Journal of the Air & Waste Management Association 899

    E-Print Network [OSTI]

    Harley, Robert

    Marr, Morrison, Nazaroff, and Harley Volume 48 October 1998 Journal of the Air & Waste Management Poisoning Linsey C. Marr, Glenn C. Morrison, William W. Nazaroff, and Robert A. Harley Department of Civil

  19. Investigating the association between birth weight and complementary air pollution metrics: a cohort study

    E-Print Network [OSTI]

    Laurent, Olivier; Wu, Jun; Li, Lianfa; Chung, Judith; Bartell, Scott

    2013-01-01

    Collaboration on Air Pollution and Pregnancy Outcomes:Wilhelm M: Ambient air pollution and adverse birth outcomes:for traffic-related air pollution in an adverse pregnancy

  20. Investigating the association between birth weight and complementary air pollution metrics: a cohort study.

    E-Print Network [OSTI]

    Laurent, Olivier; Wu, Jun; Li, Lianfa; Chung, Judith; Bartell, Scott

    2013-01-01

    Collaboration on Air Pollution and Pregnancy Outcomes:Wilhelm M: Ambient air pollution and adverse birth outcomes:for traffic-related air pollution in an adverse pregnancy

  1. 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

  2. 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 ...

  3. Air Handler Condensate Recovery at the Environmental Protection Agency's Science and Ecosystem Support Division: Best Management Practice Case Study #14; Alternate Water Sources (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-02-01

    FEMP Water Efficiency Best Management Practice #14 Case Study: Overview of the air handler condensate recovery program at the Environmental Protection Agency's Science and Ecosystem Support Division.

  4. Particulate Air Pollution, Ambulatory Heart Rate Variability, and Cardiac Arrhythmia in Retirement Community Residents with Coronary Artery Disease

    E-Print Network [OSTI]

    Bartell, Scott M.; Longhurst, John; Tjoa, Thomas; Sioutas, Constantinos; Delfino, Ralph J.

    2013-01-01

    with traffic and air pollution in patients with coronary2009. A panel study of air pollution in subjects with heartcardia triggered by air pollution in patients with coronary

  5. Particulate air pollution, ambulatory heart rate variability, and cardiac arrhythmia in retirement community residents with coronary artery disease.

    E-Print Network [OSTI]

    Bartell, Scott M; Longhurst, John; Tjoa, Thomas; Sioutas, Constantinos; Delfino, Ralph J

    2013-01-01

    with traffic and air pollution in patients with coronary2009. A panel study of air pollution in subjects with heartcardia triggered by air pollution in patients with coronary

  6. Proceedings for air quality management programs: A workshop on lessons learned

    SciTech Connect (OSTI)

    Streit, G.E.

    1993-06-01

    The coordinators of this project at Los Alamos National Laboratory and the Instituto Mexicano del Petroleo proposed a workshop to bring together an international group of experts to present both the lessons of history and the current practices in air quality management around the world. The workshop would also serve as a forum for presenting the accomplishments and plans of this project and for receiving comments from the assembled group. The workshop was favored with an outstanding set of speakers who represented a broad spectrum of experience. Their papers are presented in this volume. The total attendance was forty-four (see List of Participants) with representation from numerous interested Mexican institutions. Individual reports are processed separately for the database.

  7. Technical Committee Traffic Management Specification

    E-Print Network [OSTI]

    Huang, Wei

    Forum. All Rights Reserved. No part of this publication may be reproduced in any form or by any means is subject to change without notice and the ATM Forum is not responsible for any errors. The ATM Forum does not assume any responsibility to update or correct any information in this publication. Notwithstanding

  8. 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

  9. 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.

  10. 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

  11. J. Air & Waste Manage. Assoc., vol 58, 2008, p. 45-54 On-board emission measurement of high loaded light duty vehicles in Algeria

    E-Print Network [OSTI]

    Boyer, Edmond

    ; Nejjari et al., 2003, Atek et al., 2004). As a result, many stations of air pollution measurement and Boukadoum, 2005). Vehicle pollutant emissions constitute not only a problem of air quality in big citiesJ. Air & Waste Manage. Assoc., vol 58, 2008, p. 45-54 On-board emission measurement of high loaded

  12. Accidental release prevention requirement: Risk management programs under Clean Air Act section 112(r)(7)

    SciTech Connect (OSTI)

    Hahn, J. [Integrated Waste Services Association, Fairfield, NJ (United States)

    1997-12-01

    The Occupational Safety and Health Administration promulgates and enforces regulations that govern the health and safety of workers. OSHA rules often are considered to govern what happens {open_quotes}inside the fence line,{close_quotes} or within the physical boundaries of the facility. In some ways, the U.S. Environmental Protection Agency takes over where OSHA leaves off. The U.S. EPA is responsible for environmental programs {open_quotes}outside the fence line.{close_quotes} The concept is as simple as drawing a line, or is it? Anyone developing and implementing compliance programs, whether for OSHA or EPA, will tell you nothing is that simple. EPA`s recent promulgation of rules pertaining to risk management programs is a case in point. A new EPA rule is intended to compliment OSHA requirements under the Process Safety Management (PSM) rule. Under the OSHA rule, plant operators developed programs that ensure safe measures are in use when handling certain chemicals. During the past three years, waste-to-energy facilities faced difficult decisions when complying with the PSM requirements. Earlier this year, the US EPA promulgated its 112(r)(7) rule that is intended to `complement` OSHA`s PSM requirements. This is not always the case. Unfortunately, these new Clean Air Act requirements do not always complement, but may instead confuse plant operators. For example, EPA`s 112(r) rule may force plant operators to change, once again, their decisions on the use of selected chemicals. The US EPA estimates that approximately 66,000 facilities, including the 114 waste-to-energy facilities nationwide, may be affected by the list and risk management planning rules. The facilities include chemical and many other manufacturers, cold storage facilities with ammonia refrigeration systems, public water treatment systems, wholesalers and distributors of these chemicals, propane retailers, utilities, and federal facilities.

  13. The Association Between Exposure to Traffic-Related Air Pollution During Pregnancy and Children's Health Outcomes in the San Joaquin Valley of California: An Example of Causal Inference Methods

    E-Print Network [OSTI]

    Padula, Amy Michelle

    2010-01-01

    Health effects of air pollution." J Allergy Clin Immunolof mortality to air pollution in Seoul, South Korea."et al. (2003). "Exposure to air pollution during different

  14. Management problems relative to granting civilian personnel authority to supervisors in the Air Training Command 

    E-Print Network [OSTI]

    Wolf, Kenneth

    1961-01-01

    %ale and suggestions relative to this study. In additions aPpreoiation is extended to Nr, Leroy Mathewsa Civilian Personnel Officer~ Chanute Air Force Base~ HlinoisI Nr. Jack Nard~ Civilian Personnel Officer, Harlingen Air Force Base, Texas; Nx', Granville 0..., Chastain~ Civilian Personnel Officer~ Keesler Air Force Base~ Mississippi~ Mr. J, Naurioe Daniels, Civilian Personnel Ofricer~ Perrin Air Force Base, Texas~ and Nr, Jones B, Rawlings~ Civilian Personnel Officer, "~dolph Air Force Base, Texas...

  15. 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.

  16. The Association Between Exposure to Traffic-Related Air Pollution During Pregnancy and Children's Health Outcomes in the San Joaquin Valley of California: An Example of Causal Inference Methods

    E-Print Network [OSTI]

    Padula, Amy Michelle

    2010-01-01

    al. (2005). "Spatial analysis of air pollution and mortality2005). "A time-series analysis of air pollution and preterm

  17. A solvent replenishment solution for managing evaporation of biochemical reactions in air-matrix digital microfluidics devices

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Jebrail, Mais J.; Renzi, Ronald F.; Sinha, Anupama; Van De Vreugde, Jim; Gondhalekar, Carmen; Ambriz, Cesar; Meagher, Robert J.; Branda, Steven S.

    2014-10-01

    Digital microfluidics (DMF) is a powerful technique for sample preparation and analysis for a broad range of biological and chemical applications. In many cases, it is desirable to carry out DMF on an open surface, such that the matrix surrounding the droplets is ambient air. However, the utility of the air-matrix DMF format has been severely limited by problems with droplet evaporation, especially when the droplet-based biochemical reactions require high temperatures for long periods of time. We present a simple solution for managing evaporation in air-matrix DMF: just-in-time replenishment of the reaction volume using droplets of solvent. We demonstrate thatmore »this solution enables DMF-mediated execution of several different biochemical reactions (RNA fragmentation, first-strand cDNA synthesis, and PCR) over a range of temperatures (4–95 °C) and incubation times (up to 1 h or more) without use of oil, humidifying chambers, or off-chip heating modules. Reaction volumes and temperatures were maintained roughly constant over the course of each experiment, such that the reaction kinetics and products generated by the air-matrix DMF device were comparable to those of conventional benchscale reactions. As a result, this simple yet effective solution for evaporation management is an important advance in developing air-matrix DMF for a wide variety of new, high-impact applications, particularly in the biomedical sciences.« less

  18. A solvent replenishment solution for managing evaporation of biochemical reactions in air-matrix digital microfluidics devices

    SciTech Connect (OSTI)

    Jebrail, Mais J.; Renzi, Ronald F.; Sinha, Anupama; Van De Vreugde, Jim; Gondhalekar, Carmen; Ambriz, Cesar; Meagher, Robert J.; Branda, Steven S.

    2014-10-01

    Digital microfluidics (DMF) is a powerful technique for sample preparation and analysis for a broad range of biological and chemical applications. In many cases, it is desirable to carry out DMF on an open surface, such that the matrix surrounding the droplets is ambient air. However, the utility of the air-matrix DMF format has been severely limited by problems with droplet evaporation, especially when the droplet-based biochemical reactions require high temperatures for long periods of time. We present a simple solution for managing evaporation in air-matrix DMF: just-in-time replenishment of the reaction volume using droplets of solvent. We demonstrate that this solution enables DMF-mediated execution of several different biochemical reactions (RNA fragmentation, first-strand cDNA synthesis, and PCR) over a range of temperatures (4–95 °C) and incubation times (up to 1 h or more) without use of oil, humidifying chambers, or off-chip heating modules. Reaction volumes and temperatures were maintained roughly constant over the course of each experiment, such that the reaction kinetics and products generated by the air-matrix DMF device were comparable to those of conventional benchscale reactions. As a result, this simple yet effective solution for evaporation management is an important advance in developing air-matrix DMF for a wide variety of new, high-impact applications, particularly in the biomedical sciences.

  19. 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

  20. Intellimotion Vol. 17 no. 1 2012 Integrated Construction Zone Traffic Management, Low-Cost Vehicle Detection and Communication Systems for Urban Intersections, Freeways, and Parking Lots, Extracting More Information from the Existing Freeway Traffic Monit

    E-Print Network [OSTI]

    Detection and Communication Systems for Urban Intersections, Freeways, and Parking Lots, Extracting More for Urban Intersections, Freeways, and Parking Lots, Extracting More Information from the Existing Freeway of Changes in Graduated Licensing Laws in California, Smart Parking Management Pilot Project: A Bay Area

  1. UNITED STATES AIR FORCE OUTSIDE THE NATIONAL CAPITAL REGION

    E-Print Network [OSTI]

    program in order to reduce Federal employee's contribution to traffic congestion and air pollutionUNITED STATES AIR FORCE OUTSIDE THE NATIONAL CAPITAL REGION PUBLIC TRANSPORTATION BENEFIT PROGRAM): ____________ City (Residence): __________________________State: _______________ Zip Code: ________________ Air Force

  2. Terminal Chaos: Why U.S. AirTravel Is

    E-Print Network [OSTI]

    . Unless aviation infrastructure (airports and air traffic control) were also transformed by market forces success in democ- ratizing air travel. It unleashed competition that transformed air travel from a luxury

  3. 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.

  4. [1] E. P. Freire, A. Ziviani, and R. M. Salles. Detecting VoIP calls hidden in web traffic. IEEE Transactions on Network and Service Management, 5(4):204-214, Dec. 2008. [ bib | DOI

    E-Print Network [OSTI]

    Briesemeister, Linda

    generated traffic by using real-world experimental data gathered at a commercial Internet Service Provider. Aracil, J. E. L. de Vergara, and S. Lopez-Buedo. Characterization of the busy-hour traffic of ip networks ] Internet traffic measurements collected during the busy hour constitute a key tool to evaluate

  5. Electrocardiographic ST-Segment Depression and Exposure to Traffic-Related Aerosols in Elderly Subjects with Coronary Artery Disease

    E-Print Network [OSTI]

    2010-01-01

    and traffic in high-risk subjects. Am J Cardiol 104:665–air pollution in elderly subjects with a history of coro-air pol- lution in elderly subjects with coronary artery

  6. 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.

    model to predict air pollution in a wider region. These predictions will be tested using remote sensing forecast can then predict how air pollution is affected by this emission. Rerouting Alternative routing can reduce traffic jams and air pollution. Numereous options are available to reroute traffic flows, e

  7. Evaluation of a Local Air Conditioning Duty Cycling Device as a Load Management Tool 

    E-Print Network [OSTI]

    Schneider, K.; Thedford, M.

    1986-01-01

    During the summer of 1984, a test was performed to evaluate a local air conditioning duty cycling device as a tool to reduce TUEC's system summer peak demand. In addition to the local duty cycling device, a direct load ...

  8. 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

  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. In: Proceedings of the 89th Annual Meeting (held June 23-28 in Nashville, TN), Air and Waste Management Association, Pittsburgh, Pennsylvania, June 1996 Paper No. 96-125.03 1996 H.C. Frey

    E-Print Network [OSTI]

    Frey, H. Christopher

    No. 96-125.03 Proceedings, 89th Annual Meeting June 23-28, 1996 Nashville, TN Air & Waste Management), Air and Waste Management Association, Pittsburgh, Pennsylvania, June 1996 Paper No. 96-125.03 © 1996 HIn: Proceedings of the 89th Annual Meeting (held June 23-28 in Nashville, TN), Air and Waste

  11. Office of Inspector General audit report on aircraft and air service management programs

    SciTech Connect (OSTI)

    NONE

    1999-01-01

    The Department of Energy`s (DOE) Albuquerque Operations Office (Albuquerque) owns seven aircraft that support defense programs, research and development efforts, emergency response programs, and official travel of Government and contractor employees. An Office of Inspector General (OIG) report, issued in 1994, identified concerns with Albuquerque`s cost for air service. Since that report, there have been reductions in cost and personnel indicating changes in air service requirements. This audit was conducted to determine (1) whether costs to operate Albuquerque`s aircraft were excessive and (2) if individual aircraft in the fleet were justified.

  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. Proceedings of the 88th Annual Meeting (held June 18-23 in San Antonio, TX), Air and Waste Management Association, Pittsburgh, Pennsylvania, June 1995 Paper No. 95-7.02 1995 H.C. Frey

    E-Print Network [OSTI]

    Frey, H. Christopher

    and Waste Management Association June 18-23, San Antonio, TX In: Proceedings of the 88th Annual Meeting Air and Waste Management Association Pittsburgh, Pennsylvania #12;Proceedings of the 88th Annual Meeting (held June 18-23 in San Antonio, TX), Air and Waste Management Association, Pittsburgh, Pennsylvania, June

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

    SciTech Connect (OSTI)

    Philpott, J.

    1995-07-01

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

  15. The Association Between Exposure to Traffic-Related Air Pollution During Pregnancy and Children's Health Outcomes in the San Joaquin Valley of California: An Example of Causal Inference Methods

    E-Print Network [OSTI]

    Padula, Amy Michelle

    2010-01-01

    whether air pollution causes asthma, though short-termair pollution causes asthma, forcing an association betweenpollution causes both preterm delivery and asthma (B). It is

  16. AD : Airworthiness Directive ADC : Air Data Computer

    E-Print Network [OSTI]

    Ladkin, Peter B.

    Reference Unit LAND : Landing LATC : London Air Traffic Control L/D : Landing LIG : Landing Gear LOC and Test Panel NAV : Navigation NPA : Non Precision Approach NTSB : National Transportation Safety Board : Thrust Control Computer TCD : Ministry of Transport Civil Aviation Bureau Directive TFC : Traffic THR

  17. Stochastic Microenvironment Models for Air Pollution Exposure

    E-Print Network [OSTI]

    Naihua Duan

    2011-01-01

    in air pollution risk assessment and management. With thepollution." In: Total Exposure Assessment Methodology: A New Horizon, 166-195, Air and Waste Management

  18. Air Pollution Physics and Chemistry EAS 6790 Home Work Assignment No. 1, Air Pollution Meteorology Part 2 of 2

    E-Print Network [OSTI]

    Weber, Rodney

    Air Pollution Physics and Chemistry EAS 6790 Fall 2010 Home Work Assignment No. 1, Air Pollution highway running in a north-south direction has a traffic volume (TV) of 1000 vehicles/hr traveling in both directions (average of 500 each way). The CO emission factor (EF) for traffic is estimated to be 60 g/vehicle

  19. DOE - Office of Legacy Management -- Air Force Plant No 36 - OH 06

    Office of Legacy Management (LM)

    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 NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth Dakota Edgemont, South Dakota,You are here Home »AeroprojectsAir

  20. 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

  1. Impacts of Water Loop Management on Simultaneous Heating and Cooling in Coupled Control Air Handling Units 

    E-Print Network [OSTI]

    Guan, W.; Liu, M.; Wang, J.

    1998-01-01

    The impacts of the water loop management on the heating and cooling energy consumption are investigated by using model simulation. The simulation results show that the total thermal energy consumption can be increased by 24% for a typical AHU in San...

  2. Agricultural burning monitored for air pollutants in Imperial County; exposure reduction recommendations developed

    E-Print Network [OSTI]

    Harnly, Martha; Naik-Patel, Kinnery; Wall, Stephen; Quintana, Penelope J. E.; Pon, Diamon; Wagner, Jeff

    2012-01-01

    et al. 1977). Local Air Pollution management and air qualityPollution Control District [APCD]. 2010. Smoke ManagementSmoke management. Currently, CARB County Air Pollution

  3. Chemical reactivities of ambient air samples in three Southern California communities

    E-Print Network [OSTI]

    2015-01-01

    Journal of the Air & Waste Management Association 65 (2015)of the Air & Waste Management Association PublicationJournal of the Air & Waste Management Association, 65:3,

  4. 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

  5. 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

  6. Estimate of air carrier and air taxi crash frequencies from high altitude en route flight operations

    SciTech Connect (OSTI)

    Sanzo, D.; Kimura, C.Y.; Prassinos, P.G.

    1996-06-03

    In estimating the frequency of an aircraft crashing into a facility, it has been found convenient to break the problem down into two broad categories. One category estimates the aircraft crash frequency due to air traffic from nearby airports, the so-called near-airport environment. The other category estimates the aircraft crash frequency onto facilities due to air traffic from airways, jet routes, and other traffic flying outside the near-airport environment The total aircraft crash frequency is the summation of the crash frequencies from each airport near the facility under evaluation and from all airways, jet routes, and other traffic near the facility of interest. This paper will examine the problems associated with the determining the aircraft crash frequencies onto facilities outside the near-airport environment. This paper will further concentrate on the estimating the risk of aircraft crashes to ground facilities due to high altitude air carrier and air taxi traffic. High altitude air carrier and air taxi traffic will be defined as all air carrier and air taxi flights above 18,000 feet Mean Sea Level (MSL).

  7. 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

  8. Traffic information computing platform for big data

    SciTech Connect (OSTI)

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

    2014-10-06

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

  9. 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

  10. CASANZ Conference Linking Air Pollution, Science, Policy and Management -Newcastle, NSW Australia 23-27 Nov 2003 Page 1 of 5

    E-Print Network [OSTI]

    Kentucky, University of

    2 The Pennsylvania State University, 249 Agricultural Engineering Bldg. University Park, PA 16801 about the industry's impact on local and regional air quality. Quantitative estimates are also required guidance to the industry on the most effective strategies for managing ammonia emissions. The purpose

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

    E-Print Network [OSTI]

    Boyer, Edmond

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

  12. Perinatal Risk Factors and Autism in Los Angeles County: The Role of Air Pollution, Maternal Race/Ethnicity and Nativity

    E-Print Network [OSTI]

    Becerra, Tracy Ann

    2013-01-01

    traffic-related air pollution in Los Angeles using aRitz B, Wilhelm M, Zhao Y. Air Pollution and Infant Death inHuman Health From Air Pollution. Epidemiology. 2010 Mar;21(

  13. 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

  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/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

  15. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  16. Appendix `A' to Traffic Management and Parking

    E-Print Network [OSTI]

    Painter, Kevin

    . Introduction 3 2. Procedures: 3 - 6 2.1 Vehicle Insurance 3 2.2 Road Tax 3 2.3 Edinburgh Campus ­ Car Parks on campus must be insured for at least third party fire and theft. 2.2 Road Tax All private vehicles parked.8 Mobility Parking 4 2.9 Liability 4 2.10 Compliance 4 2.11 Statutory Off Road Notification (SORN) 4 2

  17. NASA/TM--2014216600 Traffic Management Coordinator

    E-Print Network [OSTI]

    -sponsored contractors and grantees. · CONFERENCE PUBLICATION. Collected papers from scientific and technical conferences

  18. FAQS Qualification Card - Transportation and Traffic Management |

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProvedTravel TravelChallengesOhio2014:Mexico| Department ofand Review ofOccupational

  19. 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

  20. 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

  1. Air PSE (Problem Solving Environment)

    E-Print Network [OSTI]

    Nizkorodov, Sergey

    emissions or decreasing car use. An air pollution model is never exact in its attempt to simulate if factories put out half as much carbon monoxide", or "what if car traffic is reduced by one-third". Using, anthropogenic and biogenic emissions, and amount of sunlight are a few of these components. The model takes

  2. In: Proceedings of the 91st Annual Meeting (held June 14-18 in San Diego, CA), Air and Waste Management Association, Pittsburgh, Pennsylvania, June 1998. 1998 H.C. Frey

    E-Print Network [OSTI]

    Frey, H. Christopher

    In: Proceedings of the 91st Annual Meeting (held June 14-18 in San Diego, CA), Air and Waste Management Association, Pittsburgh, Pennsylvania, June 1998. © 1998 H.C. Frey 1 Methods for Quantitative

  3. Local air pollutants threaten Lake Tahoe’s clarity

    E-Print Network [OSTI]

    2006-01-01

    AS (eds. ). Effects of Air Pollution on Western Forests.Air Waste Management Assoc, Transactions Ser No 16, p 279-and support. (California Air Resources Board) for their

  4. 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

  5. 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

  6. 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...

  7. 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

  8. 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...

  9. 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

  10. 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

  11. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  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-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

  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-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

  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-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

  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-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

  16. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  17. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-5 3-4 2-3 1-2 0-1 11/21/2013 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

  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-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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  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-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

  8. 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

  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;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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  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;R: KM 348 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

    ;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

  18. 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

  19. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  20. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  1. 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

  2. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  3. 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

  4. 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

  5. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    ;12/12/2013 4 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 POTENTIAL 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

  6. 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

  7. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  8. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  9. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  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 & 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

  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;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

  12. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  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 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

  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 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

  15. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  16. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  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 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

  18. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  19. 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

  20. Ford Van Dyke: Compressed Air Management Program Leads to Improvements that Reduce Energy Consumption at an Automotive Transmission Plant

    SciTech Connect (OSTI)

    2010-06-25

    Staff at the Ford Van Dyke Transmission Plant in Sterling Heights, Michigan, have increased the efficiency of the plant’s compressed air system to enhance its performance while saving energy and improving production.

  1. American Recovery and Reinvestment Act (ARRA) Federal Energy Management Program Technical Assistance Project 224 Altus Air Force Base Solar Technologies

    SciTech Connect (OSTI)

    Russo, Bryan J.

    2010-09-30

    The principal goal of this project was to evaluate altus Air Force Base for building integrated silicon or thin film module photovoltaic opportunities. This report documents PNNL's efforts and documents study conclusions.

  2. Research Statement of Hamsa Balakrishnan The air transportation system is a large, complex, global system that transports over 2.1 billion

    E-Print Network [OSTI]

    Research Statement of Hamsa Balakrishnan The air transportation system is a large, complex, global system that transports over 2.1 billion passengers each year. Air traffic delays have become a huge to the Joint Economic Committee of the US Senate, domestic air traffic delays in 2007 cost airlines over $19

  3. In: Proceedings of the 88th Annual Meeting (held June 18-23 in San Antonio, TX), Air and Waste Management Association, Pittsburgh, Pennsylvania, June 1995, Paper No. 95-TA42.02, 1995 H.C. Frey and A.C. Cullen

    E-Print Network [OSTI]

    Frey, H. Christopher

    Meeting Air & Waste Management Association Pittsburgh, PA Presented at: 88th Annual Meeting of the Air & Waste Management Association San Antonio, Texas June 18-23, 1995 #12;2 INTRODUCTION Virtually allIn: Proceedings of the 88th Annual Meeting (held June 18-23 in San Antonio, TX), Air and Waste

  4. 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.

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

    E-Print Network [OSTI]

    Nadir Farhi

    2009-08-25

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

  6. 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

  7. Solutions for Summer Electric Power Shortages: Demand Response and its Applications in Air Conditioning and Refrigerating Systems

    E-Print Network [OSTI]

    Han, Junqiao; Piette, Mary Ann

    2008-01-01

    for DR and demand side management, along with operationalresponse), DSM (demand side management), DR strategy, air

  8. Progress towards Managing Residential Electricity Demand: Impacts of Standards and Labeling for Refrigerators and Air Conditioners in India

    SciTech Connect (OSTI)

    McNeil, Michael A.; Iyer, Maithili

    2009-05-30

    The development of Energy Efficiency Standards and Labeling (EES&L) began in earnest in India in 2001 with the Energy Conservation Act and the establishment of the Indian Bureau of Energy Efficiency (BEE). The first main residential appliance to be targeted was refrigerators, soon to be followed by room air conditioners. Both of these appliances are of critical importance to India's residential electricity demand. About 15percent of Indian households own a refrigerator, and sales total about 4 million per year, but are growing. At the same time, the Indian refrigerator market has seen a strong trend towards larger and more consumptive frost-free units. Room air conditioners in India have traditionally been sold to commercial sector customers, but an increasing number are going to the residential sector. Room air conditioner sales growth in India peaked in the last few years at 20percent per year. In this paper, we perform an engineering-based analysis using data specific to Indian appliances. We evaluate costs and benefits to residential and commercial sector consumers from increased equipment costs and utility bill savings. The analysis finds that, while the BEE scheme presents net benefits to consumers, there remain opportunities for efficiency improvement that would optimize consumer benefits, according to Life Cycle Cost analysis. Due to the large and growing market for refrigerators and air conditioners in India, we forecast large impacts from the standards and labeling program as scheduled. By 2030, this program, if fully implemented would reduce Indian residential electricity consumption by 55 TWh. Overall savings through 2030 totals 385 TWh. Finally, while efficiency levels have been set for several years for refrigerators, labels and MEPS for these products remain voluntary. We therefore consider the negative impact of this delay of implementation to energy and financial savings achievable by 2030.

  9. 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

  10. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  11. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  12. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  13. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  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-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

  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 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

  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 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

  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 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

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

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

  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-7 5-6 4-5 3-4 2-3 1-2 0-1 12/19/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;P-2 0-1 12/19/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/19/2013 4 GW

  1. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

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

  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 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

  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 & +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

  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 & +1 Escort Cape Size Draft #12;11/21/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA-10 8-9 7-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 11/21/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

  6. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  7. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

    VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 3D Relative Risk Profile Comparison Oil Time Exposure Dr-7 5-6 4-5 3-4 2-3 1-2 0-1 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

  8. 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...

  9. Optimal Control of Hybrid Systems in Air Traffic Applications

    E-Print Network [OSTI]

    Kamgarpour, Maryam

    2011-01-01

    on factors including the crosswind and tailwind magnitudes,on factors including the crosswind and tailwind magnitudes,direction, referred to as the crosswind, or parallel to the

  10. Optimal Control of Hybrid Systems in Air Traffic Applications

    E-Print Network [OSTI]

    Kamgarpour, Maryam

    2011-01-01

    dynamics, we use the wind forecast data of July 6th, 2010,of Leihong et al. [156] wind forecast data is used in ordercertain thresholds. The wind forecast data is provided in

  11. Optimal Control of Hybrid Systems in Air Traffic Applications

    E-Print Network [OSTI]

    Kamgarpour, Maryam

    2011-01-01

    optimal control of nonlinear dynamical systems [25, 26, 27].constrained nonlinear switched dynamical systems,” in Hybridwe focus on nonlinear switched dynamical systems. These

  12. DOT/FAA/AR-09/24 Air Traffic Organization

    E-Print Network [OSTI]

    Koopman, Philip

    ), Springfield, Virginia 22161. U.S. Department of Transportation Federal Aviation Administration #12;NOTICE International, Inc. 10. Work Unit No. (TRAIS) 3660 Technology Drive Minneapolis, MN 55418 11. Contract or Grant.S. public through the National Technical Information Service (NTIS), Springfield, Virginia 22161. 19

  13. Lightweight Location Verification in Air Traffic Surveillance Networks

    E-Print Network [OSTI]

    Lenders, Vincent

    of Oxford, UK martin.strohmeier@ cs.ox.ac.uk Vincent Lenders armasuisse, Switzerland vincent.lenders

  14. Experimental Analysis of Attacks on Next Generation Air Traffic Communication

    E-Print Network [OSTI]

    Lenders, Vincent

    , Vincent Lenders2 , and Ivan Martinovic3 1 TU Kaiserslautern, Germany schaefer@cs.uni-kl.de 2 armasuisse, Switzerland vincent.lenders@armasuisse.ch 3 University of Oxford, UK ivan.martinovic@cs.ox.ac.uk Abstract

  15. 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.

  16. 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

  17. 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 ...

  18. AIR QUALITY IMPACTS OF LIQUEFIED NATURAL GAS IN THE SOUTH COAST AIR BASIN OF CALIFORNIA

    E-Print Network [OSTI]

    Carerras-Sospedra, Marc

    2012-01-01

    Emissions 7.3 Impacts of LNG on Air Quality 8. References 9.El Paso at Blythe. Chapter 3: Air Quality Impact AssessmentRespect to the South Coast Air Quality Management District

  19. Scaling Microblogging Services with Divergent Traffic Demands

    E-Print Network [OSTI]

    Almeroth, Kevin C.

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

  20. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  1. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  2. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  3. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  4. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  5. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  6. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  7. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  8. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  9. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  10. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  11. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  12. INTEGRATION: An Overview of Traffic Simulation Features

    E-Print Network [OSTI]

    Hellinga, Bruce

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

  13. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  14. Seven Traffic Signals in Two Minutes

    SciTech Connect (OSTI)

    None

    2011-01-01

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

  15. 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...

  16. 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

  17. management

    National Nuclear Security Administration (NNSA)

    5%2A en Management and Budget http:www.nnsa.energy.govaboutusouroperationsmanagementandbudget

  18. Transit\tUse\tand\tCarpooling 7D Land\tUse\tManagement\tand\tUrban...

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

    vehicle traffic speeds have improved, bus ridership has increased, and accidents and air pollution have declined in the city center. Topping it off, millions of dollars of...

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

    E-Print Network [OSTI]

    Zhong, Lin

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

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

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

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

  1. A First Look at Modern Enterprise Traffic

    SciTech Connect (OSTI)

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

    2005-06-01

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

  2. 16/06/09 8:58 AMLatest News : Traffic Technology Today Page 1 of 3http://www.traffictechnologytoday.com/news.php?NewsID=13276

    E-Print Network [OSTI]

    Flynn, Morris R.

    International Media Schedule AUDIO ON DEMAND Better connected with copper California's state capital, Sacramento, is by no means alone in trying to manage its modern traffic systems over a legacy network built on copper wire

  3. Web-based Training for Development of Traffic Analysis Technical Skills SP&R, Part I Special Studies Request

    E-Print Network [OSTI]

    Detwiler, Russell

    ) to include system monitoring and evaluation, maintenance and preservation, transportation demand management regional/local partners that will provide a foundation for traffic analysis technical skills. The knowledge base will help managers and staff within our Department to make practical and realistic decisions

  4. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  5. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  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-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

  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-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

  8. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  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-8 6-7 5-6 4-5 3-4 2-3 1-2 0-1 12/12/2013 2 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12-4 2-3 1-2 0-1 12/12/2013 3 GW-VCU VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010 Draft #12;12/12/2013 4 GW

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

  11. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  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-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

  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-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

  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 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

  15. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  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 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

  17. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  18. VESSEL TRAFFIC RISK ASSESSMENT (VTRA) 2010

    E-Print Network [OSTI]

    van Dorp, Johan René

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

  19. Ontologies for the Integration of Air Quality Models and 3D City Models

    E-Print Network [OSTI]

    Genève, Université de

    -city densification may limit air pollution, carbon emissions, and energy use through reduced transportation of the most important environmental problems is air pollution, mostly induced by vehicle traffic1 Ontologies for the Integration of Air Quality Models and 3D City Models Claudine Metral Institut

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

    E-Print Network [OSTI]

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

    2015-01-01

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

  19. GDMN : An Information Management Network for Distributed Systems

    E-Print Network [OSTI]

    Sengupta, Raja

    GDMN : An Information Management Network for Distributed Systems Amit Mahajan {amahajan from the system. 1 Introduction There are many systems that produce and con- sume information at many sites distributed over large geographical areas. Battlefield networks, traffic management systems

  20. 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

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

    SciTech Connect (OSTI)

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

    2010-05-01

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

  2. SUSTAINABLE NETWORK MANAGEMENT THE INTEGRATION OF INTELLIGENT TRANSPORT

    E-Print Network [OSTI]

    Newcastle upon Tyne, University of

    measured traffic data in real-time data, [2] when available. Air pollution is measured in real, similar Local Air Quality Monitoring Stations and Roadside Pollution Monitors are used to validate the UK MetOffice allows the air quality to be #12;2 forecasted, giving advanced warning of pollution

  3. The Need to Reduce Mobile Source Emissions in the South Coast Air Basin

    Office of Energy Efficiency and Renewable Energy (EERE)

    2004 Diesel Engine Emissions Reduction (DEER) Conference Presentation: South Coast Air Quality Management District

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

    SciTech Connect (OSTI)

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

    2011-02-01

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

  5. Prenatal Exposure to Urban Air Nanoparticles in Mice Causes Altered Neuronal Differentiation and Depression-Like Responses

    E-Print Network [OSTI]

    Davis, David A.; Bortolato, Marco; Godar, Sean C.; Sander, Thomas K.; Iwata, Nahoko; Pakbin, Payam; Shih, Jean C.; Berhane, Krios; McConnell, Rob; Sioutas, Constantinos; Finch, Caleb E.; Morgan, Todd E.

    2013-05-29

    Emerging evidence suggests that excessive exposure to traffic-derived air pollution during pregnancy may increase the vulnerability to neurodevelopmental alterations that underlie a broad array of neuropsychiatric disorders. ...

  6. 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...

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

    E-Print Network [OSTI]

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

  8. Off-line calibration of Dynamic Traffic Assignment models

    E-Print Network [OSTI]

    Balakrishna, Ramachandran, 1978-

    2006-01-01

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

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

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

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

  10. City traffic operations planners and managers use traffic simulators known as stochastic microscopic simulators to in-

    E-Print Network [OSTI]

    Entekhabi, Dara

    city center, the new meth- od identified signal plans that lead to a 34 percent reduction in average costly than micromodels, are typically used to evaluate transportation strategies, but these lack, and it outperforms traditional simulation-based optimization methods. The framework is robust to initial points

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

    E-Print Network [OSTI]

    Molnár, Sándor

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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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...

  1. 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

  2. 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...

  3. Closing the loop between traffic/pollution sensing and vehicle route control NSF CPS Workshop, March 17-18, 2011

    E-Print Network [OSTI]

    Rajkumar, Ragunathan "Raj"

    Closing the loop between traffic/pollution sensing and vehicle route control NSF CPS Workshop manager and vehicle route/speed enforcement with the aim of simultaneously reducing congestion, pollution); the on-board navigator; the vehicle control knobs (breaks, accelerator, steering wheel) and; last

  4. L. Le, G. Donohue, C. H. Chen 1 Using Auction-Based Slot Allocation for Traffic Demand

    E-Print Network [OSTI]

    L. Le, G. Donohue, C. H. Chen 1 Using Auction-Based Slot Allocation for Traffic Demand Management, airlines' prior investment and monetary bid into a ranking function with respective weights, we put forward of Hartsfield Atlanta International Airport (ATL) to compare different allocation schemas and the resulting

  5. Approximate fair bandwidth allocation: A method for simple and flexible traffic Rong Pan, Balaji Prabhakar, Flavio Bonomi and Bob Olsen

    E-Print Network [OSTI]

    Prabhakar, Balaji

    by the industry. This paper describes the evolution of AFD from a research project into an industry setting from the academic world into the industry. I. INTRODUCTION Note: This paper describes the backgroundApproximate fair bandwidth allocation: A method for simple and flexible traffic management Rong Pan

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

    E-Print Network [OSTI]

    Iftode, Liviu

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

  7. 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.

  8. Air-to-air turbocharged air cooling versus air-to-water turbocharged air cooling

    SciTech Connect (OSTI)

    Moranne, J.-P.; Lukas, J.J.

    1984-01-01

    In Europe, turbocharged air in diesel engines used in on-road vehicles is cooled only by air. It is expected that by 1990, ten to twelve percent of European heavy trucks with diesel engines will cool turbocharged air by water. Air-to-air turbocharges air cooling is reviewed and the evolution of air-to-water turbocharged air cooling presented before the two systems are compared.

  9. 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.

  10. 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.

  11. TRANSPORTATION AND TRAFFIC MANAGEMENT QUALIFICATION STANDARD REFERENCE GUIDE

    Office of Environmental Management (EM)

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

  12. Scalable Traffic Management for Data Centers and Logging Devices

    E-Print Network [OSTI]

    Lam, Vinh The

    Performance Isolation in Cloud Datacenter Networks. In Proc.Handley. Improving Datacenter Performance and Robustness

  13. Traffic Management: An Outlook Alex A. Kurzhanskiy and Pravin Varaiya

    E-Print Network [OSTI]

    as rapidly as income in $3,000-$10,000 per capita range [16], growth in emerging economies is predictable forced urban Americans to travel 5.5 billion hours more and waste 2.9 billion gallons of fuel at a cost improves. Congestion cost rose from $24 billion in 1982 to $94 billion in 2000 (2011 dollars

  14. Traffic Management and Net Neutrality in Wireless Networks

    E-Print Network [OSTI]

    Jordan, Scott

    2011-01-01

    loops or wireless spectrum and switches or routers. Thesedevices such as routers. Wireless networks incur similar

  15. Enforcing Liveness in Autonomous Traffic Management Tsz-Chiu Au

    E-Print Network [OSTI]

    Stone, Peter

    The University of Texas at Austin Austin, Texas 78712, U.S.A. chiu@cs.utexas.edu Neda Shahidi Dept. of Electrical & Computer Engineering The University of Texas at Austin Austin, Texas 78712, U.S.A. neda

  16. FAQS Reference Guide - Transportation and Traffic Management | Department

    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, 2015Executive Order 13514ConstructionWeaponTraining FAQS Reference Guide -of

  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 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

  18. 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%.

  19. TRANSPORTATION DEMAND MANAGEMENT UNIVERSITY OF BRITISH COLUMBIA (UBC) U-PASS

    E-Print Network [OSTI]

    TRANSPORTATION DEMAND MANAGEMENT ­ UNIVERSITY OF BRITISH COLUMBIA (UBC) U-PASS ­ A CASE STUDY demand management: an overview ...............................14 1.4 Traffic dynamics in Vancouver residential areas ..............92 5.0 Analysis

  20. EXHALE Exploration of Health and Lungs in the Environment Exposure to poor air quality is recognised to have a detrimental effect on children's

    E-Print Network [OSTI]

    Applebaum, David

    is recognised to have a detrimental effect on children's respiratory health and air pollution is London, the air pollutants which damage lungs and are linked to respiratory problems such as asthma. A Low symptoms, inflammation in the lung, exposure to traffic-related air pollution, and genetic susceptibility

  1. Research Statement of Hamsa Balakrishnan The air transportation system is a complex, global system that transports over 2.1 billion

    E-Print Network [OSTI]

    Gummadi, Ramakrishna

    is important because of the high costs of delays and pollution today, as well as the projected doubling in airResearch Statement of Hamsa Balakrishnan The air transportation system is a complex, global system that transports over 2.1 billion passengers each year. Air traffic delays have become a huge problem

  2. In Proceedings, Annual Meeting of the Air & Waste Management Association, June 24-28, 2001, held in Orlando, Florida, and published byA&WMA, Pittsburgh, PA

    E-Print Network [OSTI]

    Frey, H. Christopher

    simulation is developed. An emission factor case study based upon NOx emissions from coal- fired tangential and Uncertainty in Emission Estimation: An Illustration of Methods Using Mixture Distributions 2001-Abstract #11 ABSTRACT Air pollutant emission inventories are a vital component of environmental decision-making. Errors

  3. 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.

  4. Battery Thermal Management System Design Modeling

    SciTech Connect (OSTI)

    Pesaran, A.; Kim, G. H.

    2006-11-01

    Looks at the impact of cooling strategies with air and both direct and indirect liquid cooling for battery thermal management.

  5. Estimating current and future benefits of airport surface congestion management techniques

    E-Print Network [OSTI]

    Nakahara, Alex (Alex Hiroo)

    2012-01-01

    Air traffic is expected to continue to grow in the future and improved methods for dealing with the increased demand on the system need to be designed and implemented. One method for reducing surface congestion at airports ...

  6. 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.

  7. 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...

  8. 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...

  9. 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...

  10. Industrial Compressed Air System Energy Efficiency Guidebook.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1993-12-01

    Energy efficient design, operation and maintenance of compressed air systems in industrial plants can provide substantial reductions in electric power and other operational costs. This guidebook will help identify cost effective, energy efficiency opportunities in compressed air system design, re-design, operation and maintenance. The guidebook provides: (1) a broad overview of industrial compressed air systems, (2) methods for estimating compressed air consumption and projected air savings, (3) a description of applicable, generic energy conservation measures, and, (4) a review of some compressed air system demonstration projects that have taken place over the last two years. The primary audience for this guidebook includes plant maintenance supervisors, plant engineers, plant managers and others interested in energy management of industrial compressed air systems.

  11. Control and Management Strategy of Autonomous Vehicle Functions 

    E-Print Network [OSTI]

    Kim, Chang Won

    2012-02-14

    In this research, an autonomous vehicle function management methodology is studied. In accordance with the traffic situation, the decision making level chooses the optimal function that guarantees safety and minimizes fuel consumption while...

  12. Beyond Folklore: Observations on Fragmented Traffic

    E-Print Network [OSTI]

    California at San Diego, University of

    Technologies for Electronic Commerce". Quality of service management at the application level MASCOT `98 2

  13. Making Compressed Air System Decisions 

    E-Print Network [OSTI]

    Porri, R. E.

    1996-01-01

    stream_source_info ESL-IE-96-04-32.pdf.txt stream_content_type text/plain stream_size 5121 Content-Encoding ISO-8859-1 stream_name ESL-IE-96-04-32.pdf.txt Content-Type text/plain; charset=ISO-8859-1 MAKING COMPRESSED AIR... SYSTEM DECISIONS Richard E. Porri Product Manager ABSTRACT This paper presents a decision making process that will pennit the design, installation and operation ofa high efficiency and reliable compressed air system. The design of a compressed air...

  14. 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

  15. 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...

  16. 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...

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

    E-Print Network [OSTI]

    Lee, Sunghoon

    2009-06-02

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

  18. Modeling and Verifying Security Policies in Business Processes

    E-Print Network [OSTI]

    , and decentralized. Air Traffic Management (ATM) systems, smart grids, and smart cities are not simple mono- lithic

  19. Air Quality

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News Publications Traditional KnowledgeAgenda Agenda NERSC UserAgustin Mihi andAir Leaks inAir

  20. Air Quality Responses to Changes in Black Carbon and Nitrogen Oxide Emissions

    E-Print Network [OSTI]

    Millstein, Dev

    2009-01-01

    3 Community Multiscale Air Quality (CMAQ) model aerosoland its role in regional air quality. Science, 311, 67-70.aerosol in Fresno, CA. J. Air Waste Manage. Assoc. , 56,

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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...

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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...

  12. 2013 Federal Energy and Water Management Award Winner David Morin

    Broader source: Energy.gov [DOE]

    Poster features 2013 Federal Energy and Water Management Award winner David Morin of the U.S. Air Force's Laughlin Air Force Base in Texas.

  13. Covered Product Category: Air-Cooled Ice Machines

    Broader source: Energy.gov [DOE]

    The Federal Energy Management Program (FEMP) provides acquisition guidance for air-cooled ice machines, which are covered by the ENERGY STAR program.

  14. Covered Product Category: Residential Air-Source Heat Pumps

    Broader source: Energy.gov [DOE]

    The Federal Energy Management Program (FEMP) provides acquisition guidance for residential air-source heat pumps, which is an ENERGY STAR qualified product category.

  15. Determining the Right Air Quality for Your Compressed Air System...

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

    Applications Plant Air Air tools, general plant air Instrument Air Laboratories, paint spraying, powder coating, climate control Process Air Food and pharmaceutical process...

  16. 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

  17. 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

  18. Ventilation Air Preconditioning Systems 

    E-Print Network [OSTI]

    Khattar, M.; Brandemuehl, M. J.

    1996-01-01

    Increased outside ventilation air requirements demand special attention to how that air will be conditioned. In winter, the incoming air may need preheating; in summer. the mixed air may be too humid for effective dehumidification. Part...

  19. Air Quality

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O D S TA I N P A T T E R N AManaged bynuevo sistemaAir

  20. Work Zone Traffic Analysis in Oregon

    E-Print Network [OSTI]

    Bertini, Robert L.

    a free flow threshold Compare #12;What's a Free Flow Threshold The maximum sustainable volume that yields III Bridge Locations #12;Mobility Corridors Statewide Mobility Corridors Defined #12;Mobility Management and Delay Thresholds I-5 South Corridor (Eugene to CA State Line) #12;Mobility Management

  1. 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...

  2. 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 ...

  3. 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

  4. 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...

  5. 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 ...

  6. 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 ...

  7. 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

  8. 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...

  9. 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

  10. DISTRIBUTED SYSTEMS MANAGEMENT AS A GROUP ACTIVITY Graham Dean, Tom Rodden, Ian Sommerville and David Hutchison

    E-Print Network [OSTI]

    Sommerville, Ian

    commercial management packages provide low level information giving statistics on network load and trafficDISTRIBUTED SYSTEMS MANAGEMENT AS A GROUP ACTIVITY Graham Dean, Tom Rodden, Ian Sommerville@comp.lancs.ac.uk It is important to consider systems management as part of a whole organisational management strategy and, as such

  11. 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...

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

    SciTech Connect (OSTI)

    1993-10-28

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

  13. ENV 6105 Page 1 of 6 Fall 2011 Air Pollution

    E-Print Network [OSTI]

    Stuart, Amy L.

    ENV 6105 Page 1 of 6 Fall 2011 Syllabus Air Pollution ENV 6105.901 (ref# 90504) Fall 2011 Course Description: A study of air pollution. Emphasis is given to principles underlying our understanding of ambient air pollution, its sources, its effects, and mechanisms for its management. Credit Hours and Work

  14. Predictability of European air quality: Assessment of 3 years of operational forecasts and analyses by the PREV'AIR system

    E-Print Network [OSTI]

    Menut, Laurent

    , is proved to improve ozone forecasts, especially when photochemical pollution episodes occur. The PREV'AIR and laws regarding the pollutants of utmost importance in relation to human health, air pollution is still- ments are still needed to manage and control the impacts of air pollution on health. [3] Facing

  15. 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.

  16. Metal-Air Batteries

    SciTech Connect (OSTI)

    Zhang, Jiguang; Bruce, Peter G.; Zhang, Gregory

    2011-08-01

    Metal-air batteries have much higher specific energies than most currently available primary and rechargeable batteries. Recent advances in electrode materials and electrolytes, as well as new designs on metal-air batteries, have attracted intensive effort in recent years, especially in the development of lithium-air batteries. The general principle in metal-air batteries will be reviewed in this chapter. The materials, preparation methods, and performances of metal-air batteries will be discussed. Two main metal-air batteries, Zn-air and Li-air batteries will be discussed in detail. Other type of metal-air batteries will also be described.

  17. Air temperature thresholds for indoor comfort and perceived air quality

    E-Print Network [OSTI]

    Zhang, Hui; Edward, Arens; Pasut, Wilmer

    2012-01-01

    in the Netherlands, Indoor Air 2, 127 – 136. BuildingPaliaga, G. (2009) Moving air for comfort. ASHRAE Journal,ventilation system on perceived air quality, Indoor Air

  18. Moving air for comfort

    E-Print Network [OSTI]

    Arens, Edward; Turner, Stephen; Zhang, Hui; Paliaga, Gwelen

    2009-01-01

    Brager, L. Zagreus. 2007, “Air movement preferences observed709-731. 9. Toftum, J. 2004. “Air movement – good or bad? ”Indoor Air 14, pp 40-45. 10. Gong, N. , K. Tham, A. Melikov,

  19. Feasibility of air capture

    E-Print Network [OSTI]

    Ranjan, Manya

    2010-01-01

    Capturing CO2 from air, referred to as Air Capture, is being proposed as a viable climate change mitigation technology. The two major benefits of air capture, reported in literature, are that it allows us to reduce the ...

  20. Primary zone air proportioner

    DOE Patents [OSTI]

    Cleary, Edward N. G. (San Diego, CA)

    1982-10-12

    An air proportioner is provided for a liquid hydrocarbon fueled gas turbine of the type which is convertible to oil gas fuel and to coal gas fuel. The turbine includes a shell for enclosing the turbine, an air duct for venting air in said shell to a gasifier, and a fuel injector for injecting gasified fuel into the turbine. The air proportioner comprises a second air duct for venting air from the air duct for mixing with fuel from the gasifier. The air can be directly injected into the gas combustion basket along with the fuel from the injector or premixed with fuel from the gasifier prior to injection by the fuel injector.

  1. Biological Air Emissions Control

    Office of Energy Efficiency and Renewable Energy (EERE)

    Air quality standards are becoming more stringent for the U.S. wood products industry. Emissions of volatile organic compounds (VOCs) and hazardous air pollutants (HAPs) (including methanol,...

  2. 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.

  3. 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.

  4. 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...

  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. 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

  10. 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

  11. 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

  12. 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 ...

  13. 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

  14. In Proceedings of the International Conference on Research in Air Transportation. Zilina, Slovaki, 45-51, 2004. Best Session Paper

    E-Print Network [OSTI]

    and Europe [1]. The terminal airspace and ground facilities of an airport, such as runways, taxiways, gates of the system. Improvement of air traffic control, both in technology and in operational procedures, has incidents, such as equipment failures or human performance deviations, the precursor can lead to an accident

  15. The King's College London HEI project Health, Environment and Reducing air pollution in London, combating cardio-respiratory illness,

    E-Print Network [OSTI]

    Applebaum, David

    the problem Transport for London (TfL) was tasked to develop plans to reduce harmful traffic emissions. Given. The work has had a direct impact on the design of road transport policy in London and maximisesThe King's College London HEI project ­ Health, Environment and Innovation Reducing air pollution

  16. Air Pollution Spring 2010

    E-Print Network [OSTI]

    Pierce, Jeffrey

    ATS 555 Air Pollution Spring 2010 T Th 11:00 ­ 12:15, NESB 101 Instructor: Prof. Sonia Kreidenweis an understanding of types and sources of air pollution. 2. Examine concentrations of air pollutants and their effects on health and welfare. Review regulations governing air pollution. 3. Examine the meteorological

  17. Cromer Cycle Air Conditioner

    Office of Energy Efficiency and Renewable Energy (EERE)

    New Air Conditioning System Uses Desiccant to Transfer Moisture and Increase Efficiency and Capacity

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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;

  10. 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.

  11. 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.

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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...

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. Single-Duct Constant Air Volume System Supply Air Temperature Reset: Using Return Air Temperature or Outside Air Temperature? 

    E-Print Network [OSTI]

    Wei, G.; Turner, W. D.; Claridge, D.; Liu, M.

    2002-01-01

    The supply air temperature set point for a singleduct constant air volume air handling unit (AHU) system is often reset based on either return air temperature or outside air temperature in order to reduce simultaneous cooling and heating energy...

  9. 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.

  10. Mathematical modeling of air pollution emissions and dispersion near intersections 

    E-Print Network [OSTI]

    Nelli, James Patrick

    1982-01-01

    Administration (PHWA) RFP No. DTPB61-80-8-00340 under Texas Transportation Institute (TTI) Project So. 2-8-81-541 and is intended to provide an improved perspective in the analysis of highway air pollution hot spots. The study was directed toward... of the free-flowing traffic. Since the dispersion nomographs were derived for a receptor height of 1. 8 metres (5. 9 ft), additional nomographs are presented relating roadway/receptor separa- tion and actual receptor height to a height correction factor, z...

  11. Alternative Air Conditioning Technologies: Underfloor Air Distribution (UFAD)

    E-Print Network [OSTI]

    Webster, Tom

    2004-01-01

    Refrigerating, and Air-Conditioning Engineers, Inc, 1992.Refrigerating, and Air-Conditioning Engineers, Inc. , 1992.Refrigerating, and Air-Conditioning Engineers, Inc. , 1990.

  12. Water Management for Evaporatively Cooled Condensers

    E-Print Network [OSTI]

    California at Davis, University of

    Water Management for Evaporatively Cooled Condensers Theresa Pistochini May 23rd, 2012 ResearchAirCapacity,tons Gallons of Water Continuous Test - Outdoor Air 110-115 Deg F Cyclic Test - Outdoor Air 110-115 Deg F #12 AverageWaterHardness(ppm) Cooling Degree Days (60°F Reference) 20% Population 70% Population 10

  13. Air quality evaluation of London Paddington train station

    E-Print Network [OSTI]

    Chong, Uven; Swanson, Jacob J.; Boies, Adam M.

    2015-01-01

    concentrations in residential houses. Atmospheric Environment 2004, 38 (21), 3405-3415. 9. Long, C. M.; Suh, H. H.; Koutrakis, P., Characterization of indoor particle sources using continuous mass and size monitors. Journal of the Air & Waste Management...

  14. Network Management Network Management

    E-Print Network [OSTI]

    Giaccone, Paolo

    Network Management Pag. 1 Network Management Network management and QoS provisioning - 1Andrea of this license visit: http://creativecommons.org/licenses/by-nc- /3 0/ Network management and QoS provisioning ­ Chapter 9, Network Management, of the book Jim Kurose, Keith Ross, Computer Networking, A Top Down

  15. Management Plan Management Plan

    E-Print Network [OSTI]

    Management Plan Management Plan "Management and restoration programs for native salmonids have communities" J. Lichatowich et al. 1998. A Conceptual Foundation for the Management of Native Salmonids in the Deschutes River. The Management Plan consists of five elements described in the Council's program: 1

  16. General Air Permits (Louisiana)

    Broader source: Energy.gov [DOE]

    Any source, including a temporary source, which emits or has the potential to emit any air contaminant requires an air permit. Facilities with potential emissions less than 5 tons per year of any...

  17. Clean Air Bill 

    E-Print Network [OSTI]

    Her Majesty's Stationary Office

    1955-01-01

    The object of this Bill is to implement the principal recommendations in the Report of the Committee on Air Pollution

  18. on man, nature & air pollution

    E-Print Network [OSTI]

    Finlayson-Pitts, Barbara J

    2008-01-01

    on man, nature & air pollution About three decades ago, itand episodes of air pollution the following summer. Wetthe increase in air pollution. This hypothesis generated

  19. Sandia National Laboratories, California Air Quality Program annual report.

    SciTech Connect (OSTI)

    Gardizi, Leslee P.; Smith, Richard

    2009-06-01

    The annual program report provides detailed information about all aspects of the SNL/CA Air Quality Program. It functions as supporting documentation to the SNL/CA Environmental Management System Program Manual. The program report describes the activities undertaken during the past year, and activities planned in future years to implement the Air Quality Program, one of six programs that supports environmental management at SNL/CA.

  20. 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...