• DocumentCode
    1907852
  • Title

    Vehicle Routing Algorithm Based on Real-Time Information

  • Author

    Saizheng, Wang ; Kejun, Long

  • Author_Institution
    Coll. of Traffic & Transp. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
  • Volume
    3
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    880
  • Lastpage
    882
  • Abstract
    The problem of vehicle routing is discussed in a traffic network with real-time information. Travel time on each link can be as a random variable in the traffic network, collects the Real-time traffic information and calculates the travel time before the vehicle enters the link, so we can obtain the shortest path. This paper presents an improved A * algorithm, which not only adapts to the dynamic traffic network, but also it is more efficient as it is based on point-to-point. This algorithm does not need a fixed path from original node to destination node, only to estimate the travel time from current position to destination node with real-time data and determine the next link when the vehicle arrives at some node.
  • Keywords
    graph theory; network theory (graphs); random processes; road traffic; road vehicles; A* algorithm; random variable; real-time traffic network information; shortest path problem; vehicle routing algorithm; Educational institutions; Heuristic algorithms; Intelligent networks; Intelligent vehicles; Navigation; Roads; Routing; Telecommunication traffic; Traffic control; Vehicle dynamics; A* algorithm; dynamic traffic network; travel time;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.678
  • Filename
    5288132