• DocumentCode
    2516356
  • Title

    A classification of expressway traffic flow characteristics based on different distances between on-ramp and off-ramp

  • Author

    Zhang, Haizheng ; Yin, Shengchao ; Yao, Danya ; Su, Yuelong

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • fYear
    2012
  • fDate
    3-7 June 2012
  • Firstpage
    199
  • Lastpage
    204
  • Abstract
    This paper focuses on the influence on traffic flow characteristics of distance between on-ramp and off-ramp in expressway. In this research, those characteristics include traffic flow rate, average speed and average density. Based on VISSEVI, we calibrated key parameters and a calibrating procedure is proposed. Then we simulated scenarios with different distances from 100m to 1000m. Analyses of the distance´s influence on traffic flow characteristics are studied using simulation results. A step further, 3 modes are classified out of different distances and 2 thresholds are proposed. The two thresholds are within 100-200m and 500-600m and if distance varies through these, traffic flow characteristics will change significantly. Finally, as for verification, we compared 3 scenarios of simulation with reality. In the future, different control strategies may be applied due to different conditions.
  • Keywords
    automated highways; pattern classification; road traffic; traffic engineering computing; Beijing; VISSEVI; average density; average speed; control strategies; expressway traffic flow characteristic classification; key parameter calibration; off-ramp; on-ramp; traffic flow rate; Calibration; Roads; Safety; Simulation; Standards; Structural rings; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2012 IEEE
  • Conference_Location
    Alcala de Henares
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4673-2119-8
  • Type

    conf

  • DOI
    10.1109/IVS.2012.6232184
  • Filename
    6232184