• DocumentCode
    2971623
  • Title

    Traffic Signal Optimization with Vehicles Queue and the Number of Pedestrians Non-Complying at Single Intersection

  • Author

    Zhou, Zhi-Na ; Shi, Zhong-ke ; Li, Ying-Feng

  • Author_Institution
    Coll. of Autom., Northwestern Polytech. Univ., Xi´´an
  • fYear
    2008
  • fDate
    2-3 Aug. 2008
  • Firstpage
    175
  • Lastpage
    180
  • Abstract
    In urban traffic signal optimization, the length of vehicle queue, waiting for green signal, is regarded as a performance index (PI). However, pedestrians are reluctant to waiting for green signal without person specially assigned to manage pedestrians in developing city, such as Xi´an. To the signal optimization problem of domestic urban traffic with pedestrians´ noncompliance, a hybrid optimization algorithm is developed. The PI includes the length of vehicles queue and the number of pedestrians breaching signal. The number of pedestrians breach is estimated by a Monte Carlo method. The simulations are conducted in the condition of heavy traffic demands. The validation results indicate that the proposed method is able to improve the traffic condition for weak colony compared with the accustomed control method.
  • Keywords
    Monte Carlo methods; estimation theory; optimisation; road traffic; road vehicles; Monte Carlo method; pedestrian noncomplying; performance index; single intersection; urban traffic signal optimization problem; vehicle queue; Automation; Cities and towns; Delay estimation; Educational institutions; Genetic algorithms; Intelligent transportation systems; Intelligent vehicles; Performance analysis; Power electronics; Traffic control; colony following; genetic algorithm; pedestrian breach; protecting weak colony; signal optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Intelligent Transportation System, 2008. PEITS '08. Workshop on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3342-1
  • Type

    conf

  • DOI
    10.1109/PEITS.2008.47
  • Filename
    4634839