• DocumentCode
    2289881
  • Title

    Traffic signal timing and phase optimization for intersection based on IPSO

  • Author

    Jin Chengjun ; Cheng Wei ; Chang Guiran ; Jiang Huiyan ; Hwang Hakchol

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    711
  • Lastpage
    714
  • Abstract
    Urban area traffic signal control is a complicated issue. Based on the characteristics of vehicle delay, this paper proposes a method for signal timing and phase optimization. Particle swarm optimization (PSO) is adopted to optimize the multiphase traffic signal timing and phase sequence at the intersection. The optimization objective is to minimize the average vehicle delay of every cycle at the intersection. The simulation results demonstrate that the proposed method can efficiently reduce the average vehicle delay at the intersection and improve the traffic capacity of the intersection. In addition, the algorithm is fast and stable.
  • Keywords
    delay systems; particle swarm optimisation; road traffic control; road vehicles; signal processing; IPSO; intersection; multiphase traffic signal timing; optimization objective; particle swarm optimization; phase optimization; phase sequence; traffic capacity; urban area traffic signal control; vehicle delay; Delay; Educational institutions; Intelligent control; Optimization; Particle swarm optimization; Vehicles; Green Light Timing; Particle Swarm Optimization; Phase Sequence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6357970
  • Filename
    6357970