• DocumentCode
    2650312
  • Title

    Urban Trunk Road Traffic Signal Coordinated Control Based on Multi-Objective Immune Algorithm

  • Author

    Luo Pei ; Ma Qian ; Huang Hui-xian

  • Author_Institution
    Coll. of Inf. Eng., Xiangtan Univ. Xiangtan, Xiangtan
  • fYear
    2009
  • fDate
    1-2 Feb. 2009
  • Firstpage
    72
  • Lastpage
    76
  • Abstract
    In order to reduce traffic delay, a novel urban trunk road traffic signal coordinated control method was presented. Firstly, a multi-objective immune algorithm based on multi-population was proposed. By this way, it can effectively prevent population retrogression; promote diversity and the whole optimal searching ability of genetic algorithm. Considering the traffic delay of the uplink vehicles and the down vehicles at different times on the trunk road, the objection function for total delay is set up, and the objection function optimization based on multi-population immune algorithm is implemented through adjusting the phase difference at intersections. Finally, compared with the genetic algorithms and the method of fixed phase difference, the simulation results of this novel control method have verified the obvious advantage.
  • Keywords
    artificial immune systems; genetic algorithms; road traffic; fixed phase difference; genetic algorithm; multiobjective immune algorithm; multipopulation immune algorithm; objection function optimization; urban trunk road traffic signal coordinated control; Automatic control; Biological system modeling; Communication system traffic control; Delay effects; Genetic algorithms; Immune system; Road vehicles; Robotics and automation; Traffic control; Vaccines; Multi-Objective; coordinated control; immune algorithm; traffic signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics in Control, Automation and Robotics, 2009. CAR '09. International Asia Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4244-3331-5
  • Type

    conf

  • DOI
    10.1109/CAR.2009.99
  • Filename
    4777197