An experimental study on mitigation of expressway traffic congestion with LED information board

被引:0
|
作者
Saito, Y [1 ]
Xing, JA [1 ]
Nonaka, Y [1 ]
Ishida, T [1 ]
Uchiyama, H [1 ]
机构
[1] Highway Publ Corp, Tokyo Operat Bur E Branch Japan, Div Traff Engn, Iwatsuki, Saitama 3398502, Japan
关键词
traffic congestion on interurban expressway; LED information board; congested flow rate; maximum flow rate before congestion; bottleneck capacity;
D O I
暂无
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Provision of traffic information to drivers around bottleneck by Light Emitting Diode (LED) information board has been expected as a new congestion antidote which will mitigate congestions in the normal sections of expressways with considerably low costs. It has already been reported that LED sign car may increase congested flow rate as the result of guiding drivers to accelerate their speeds during congestion. The study aims to verify the effect of LED information board to increase the bottleneck capacity during congestion as well as the maximum flow rate before congestion. As the result of the survey, it is shown that through provision of dynamic traffic information of congestion via LED information board will increase the congested flow rate at the bottleneck. However, it is difficult to show a clear increase of the maximum flow rate before congestion.
引用
收藏
页码:919 / 928
页数:10
相关论文
共 50 条
  • [1] Examining the Effect of Connecting Auxiliary Lanes on Mitigation of Expressway Traffic Congestion
    Sato, Hisanaga
    Xing, Jian
    Tanaka, Shinichiro
    Morikita, Kazuteru
    [J]. INTERNATIONAL JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH, 2011, 9 (02) : 55 - 63
  • [2] The Impact of Traffic Information Age on Congestion Mitigation
    Dedeoglu, Mehmet
    Chiu, Te-Chuan
    Zhang, Junshan
    [J]. 2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2019,
  • [3] Mitigation of expressway traffic congestion through transportation demand management with toll discount
    Xing, J.
    Takahashi, H.
    Kameoka, H.
    [J]. IET INTELLIGENT TRANSPORT SYSTEMS, 2010, 4 (01) : 50 - 60
  • [4] Study on expressway traffic congestion detection using computer vision
    Yan Jiangfeng
    Song Zhenghe
    Mao Enrong
    [J]. 3rd China-Japan Conference on Mechatronics 2006 Fuzhou, 2006, : 172 - 175
  • [5] Road traffic congestion and public information -: An experimental investigation
    Ziegelmeyer, Anthony
    Koessler, Frederic
    My, Kene Boun
    Denant-Boemont, Laurent
    [J]. JOURNAL OF TRANSPORT ECONOMICS AND POLICY, 2008, 42 : 43 - 82
  • [6] Research on Second Ring Expressway Traffic Congestion in Beijing
    Mao, He
    Xu, Xiuhua
    [J]. SUSTAINABLE DEVELOPMENT AND ENVIRONMENT II, PTS 1 AND 2, 2013, 409-410 : 1339 - 1342
  • [7] Optimal information perturbation for traffic congestion mitigation: Gaussian process regression and optimization
    Spana, Stephen
    Du, Lili
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2022, 138
  • [8] An Improved CrowdDet Algorithm for Traffic Congestion Detection in Expressway Scenarios
    Wang, Chishe
    Chen, Yuting
    Wang, Jie
    Qian, Jinjin
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (12):
  • [9] An expressway traffic congestion measurement under the influence of service areas
    Liao, Lyuchao
    Li, Zhengrong
    Lai, Shukun
    Jiang, Wenxia
    Zou, Fumin
    Yu, Xiang
    Xu, Zhiyu
    [J]. PLOS ONE, 2023, 18 (01):
  • [10] Impact of traffic congestion on trade and strategies for mitigation
    O'Mahony, M
    Finlay, H
    [J]. INTERMODAL FREIGHT TRANSPORTATION; FREIGHT TRANSPORTATION PLANNING, 2004, (1873): : 25 - 34