• DocumentCode
    3224957
  • Title

    Signal Optimization Problem with Pedestrians Non-complying at a Single Intersection

  • Author

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

  • Author_Institution
    Coll. of Autom., Northwestern Polytech. Univ., Xian
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Oct. 2008
  • Firstpage
    288
  • Lastpage
    292
  • Abstract
    Without persons specially assigned to manage pedestrians, pedestrians almost are reluctant to wait in developing cities, such as Xipsilaan during green phases for vehicles. Thus, some vehicles may conflict with pedestrianspsila noncompliance, and be delayed. To solve the signal optimization problem of urban traffic with pedestrianspsila noncompliance, a hybrid optimization algorithm is developed. In this algorithm, the performance index (PI), concerned on the total retained vehicles over the whole control period, includes the number of retained vehicles for waiting green signal and violating pedestrians. The number of retained vehicles for pedestrians violating is estimated by a Monte Carlo method. The simulations are conducted under the condition of heavy traffic demands. The results indicate that, under the condition of heavy traffic flow, this method is more available to protect the pedestrians than the traditional method.
  • Keywords
    Monte Carlo methods; optimisation; traffic; Monte Carlo method; hybrid optimization algorithm; pedestrians; performance index; signal optimization; urban traffic; Automation; Cities and towns; Conference management; Delay estimation; Educational institutions; Genetic algorithms; Intelligent vehicles; Performance analysis; Technology management; Traffic control; Colony following; Genetic algorithm; Integrated queues; Pedestrian non-compliance; Signal optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3357-5
  • Type

    conf

  • DOI
    10.1109/ICICTA.2008.306
  • Filename
    4659769