• DocumentCode
    2805041
  • Title

    Traffic Volume Condition for Left-Turn Forbidden on Urban Road Unsignalized T-Intersection

  • Author

    Li, Ai-Zeng ; Song, Xin-Sheng ; Song, Xiang-Hong ; Wu, Bing-Hua

  • Author_Institution
    Dept. of Traffic Eng., Henan Univ. of Urban Constr., Pingdingshan, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    To ensure main road traffic flow running smoothly, traffic volume condition for left-turn forbidden was analyzed. Defining equivalent people group to describe the non-motorized vehicles´ and pedestrians´ effect on vehicles, traffic flow priority of urban road unsignalized T-intersection was ranked renewedly, it was divided into five grades. Based on gap acceptance theory, potential capacity calculation models of each subordinate traffic flow were obtained. Taking prior traffic flow´s effects on subordinate traffic flow into consideration, movement capacity models of subordinate traffic flows were established. Based on the analysis above, traffic volume condition for left-turn forbidden was got, namely, when the left-turn traffic volume is larger than the left-turn capacity, it is needed to taking left-turn forbidden. Case study indicates that the capacity calculation methods and traffic volume condition for left-turn forbidden are accord with the traffic flow running reality.
  • Keywords
    road traffic; gap acceptance theory; left-turn forbidden; potential capacity calculation models; subordinate traffic flow; traffic volume condition; urban road unsignalized t-intersection; Automotive engineering; Cities and towns; Computer science; Computer science education; Exponential distribution; Fluid flow measurement; Road vehicles; Space vehicles; Traffic control; Volume measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5362666
  • Filename
    5362666