Real-time indicators of vehicle kilometers of travel and congestion - One year of experience

被引:0
|
作者
Hwang, HL [1 ]
Greene, DL [1 ]
Chin, SM [1 ]
Gibson, AA [1 ]
机构
[1] Oak Ridge Natl Lab, Oak Ridge, TN 37831 USA
关键词
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Automated traffic data posted on the Internet by four cities have been continuously downloaded, processed, and archived for more than I year by an automated system developed by Oak Ridge National Laboratory and funded by the U.S. Bureau of Transportation Statistics. Although the experimental system is far from national in scale and scope, it has shown that automated collection and processing of local traffic data via the Internet for national purposes is feasible and practical. Strong seasonal patterns make it too early to estimate statistical models of traffic growth, but comparisons of the same months in 1998 and 1999 indicate changes ranging from I percent to 3 percent for the monitored systems. Direct measurements of delay on the monitored systems are lower than published estimates for previous years. Although some progress in the input of missing data has been made, missing data are still a major problem, and better methods are needed.
引用
收藏
页码:209 / 214
页数:6
相关论文
共 50 条
  • [1] Real-time indicators of vehicle kilometers of travel and congestion: One year of experience
    Hwang, H.-L.
    Greene, D.L.
    Chin, S.-M.
    Gibson, A.A.
    [J]. Transportation Research Record, 2000, (1719) : 209 - 214
  • [2] Vehicle routing problem with real-time travel times
    Department of Information and Operations Management, European University Viadrina, P.O. Box 1786, 15207 Frankfurt, Oder, Germany
    不详
    [J]. Int. J. Veh. Inf. Commun. Syst., 2009, 1-2 (59-77): : 59 - 77
  • [3] The Vehicle Routing Problem with Real-Time Travel Times
    Okhrin, Irena
    Richter, Knut
    [J]. TECHNIQUES AND APPLICATIONS FOR MOBILE COMMERCE, 2008, 169 : 32 - 45
  • [4] REAL-TIME HOLTER AMBULATORY ECG MONITORING - ONE YEAR EXPERIENCE
    FIUZA, M
    PINTO, F
    DIAS, E
    PEDRO, P
    RIBEIRO, F
    CORREIA, J
    DEPADUA, F
    [J]. ELECTROCARDIOLOGY 1988, 1989, 830 : 123 - 128
  • [5] Real-time Vehicle Recognition and Improved Traffic Congestion Resolution
    Ali, Ihtisham
    Malik, Arsalan
    Ahmed, Waqas
    Khan, Sheraz Ali
    [J]. 2015 13TH INTERNATIONAL CONFERENCE ON FRONTIERS OF INFORMATION TECHNOLOGY (FIT), 2015, : 228 - 233
  • [6] Real-time distributed congestion control for electrical vehicle charging
    Ardakanian, O.
    Rosenberg, C.
    Keshav, S.
    [J]. Performance Evaluation Review, 2012, 40 (03): : 38 - 42
  • [7] Real Time Travel Information - One year in the life of a real time system
    Patton, E
    George, S
    [J]. ELEVENTH INTERNATIONAL CONFERENCE ON ROAD TRANSPORT INFORMATION AND CONTROL, 2002, (486): : 61 - 68
  • [8] A real-time multiple vehicle tracking method for traffic congestion identification
    Zhang, Xiaoyu
    Hu, Shiqiang
    Zhang, Huanlong
    Hu, Xing
    [J]. KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2016, 10 (06): : 2483 - 2503
  • [9] Real-Time Measurement of Link Vehicle Count and Travel Time in a Road Network
    Kwong, Karric
    Kavaler, Robert
    Rajagopal, Ram
    Varaiya, Pravin
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2010, 11 (04) : 814 - 825
  • [10] Real-time estimation of freeway travel time with recurrent congestion based on sparse detector data
    Lu, Lili
    Wang, Jian
    He, Zhengbing
    Chan, Ching-Yao
    [J]. IET INTELLIGENT TRANSPORT SYSTEMS, 2018, 12 (01) : 2 - 11