• DocumentCode
    2664853
  • Title

    Signal timing at T intersection based on adaptive co-evolutionary algorithm

  • Author

    Ming, He ; Hui, Wang ; Hong, Liu

  • Author_Institution
    Res. Center of Intell. Transp. Syst., Univ. of Zhejiang, Hangzhou
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    517
  • Lastpage
    521
  • Abstract
    Based on the modified co-evolutionary genetic algorithm, the signal timing of the urban single-point T intersection was optimized. In order to solve this problem, the shortest average delay was taken as objective, and the intersection geometry shape and prohibition of traffic flow conflicts were taken as restrictions. Simulation experiments show that the optimization signal phase figure results are consistent with the actual traffic situation, and the adaptive co-evolutionary genetic algorithm, which is a new global search algorithm, is feasible and effective for mixed-traffic signal timing at T signalized intersection.
  • Keywords
    genetic algorithms; road traffic; search problems; T signalized intersection; adaptive co-evolutionary algorithm; global search algorithm; intersection geometry shape; mixed-traffic signal timing; modified co-evolutionary genetic algorithm; single-point T intersection; traffic flow conflicts; Algorithm design and analysis; Analytical models; Control systems; Delay effects; Genetic algorithms; Intelligent transportation systems; Programmable control; Signal processing; Timing; Traffic control; Adaptive; Co-evolutionary Algorithm; Mix Traffic; T Intersection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2008. CCC 2008. 27th Chinese
  • Conference_Location
    Kunming
  • Print_ISBN
    978-7-900719-70-6
  • Electronic_ISBN
    978-7-900719-70-6
  • Type

    conf

  • DOI
    10.1109/CHICC.2008.4605444
  • Filename
    4605444