• DocumentCode
    2875356
  • Title

    Analysis of Traffic Flow Characteristics under Large Volume in Highway Tunnel Group Region

  • Author

    Zhan, Wei ; Lu, Qing ; Shang, Yuequan

  • Author_Institution
    Coll. of Civil Eng. & Archit, Zhejiang Univ., Hangzhou, China
  • fYear
    2012
  • fDate
    1-3 June 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Based on the field monitoring data of traffic flow in a typical highway tunnel group region, the traffic flow characteristics were analyzed with statistical analyzing method of the relationship among the speed, volume and density of the traffic flow. The result shows that the traffic capacity in highway tunnel group region was mainly controlled by the traffic volume, the traffic flow component and so on. The existing methods in present code could not reflect the real situation of the traffic flow under large traffic volume in the highway tunnel group region. The paper investigated the passenger car equivalent with method of vehicle headway analysis based on field monitoring data. Then the traffic capacity and the service level were re-evaluated on the results of above new passenger car equivalent. The results reflect the real traffic situation in the highway tunnel group area better than the method provided in the existing code. The data and results presented in the paper can be used for further analysis of the traffic flow in the highway tunnel group area and for the purpose of corresponding code revision.
  • Keywords
    road traffic; statistical analysis; code revision; field monitoring data; highway tunnel group region; statistical analyzing method; traffic capacity; traffic flow characteristics analysis; traffic volume; vehicle headway analysis; Accidents; Axles; Monitoring; Roads; Standards; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0872-4
  • Type

    conf

  • DOI
    10.1109/RSETE.2012.6260393
  • Filename
    6260393