• DocumentCode
    708622
  • Title

    Optimizing self-organizing method in traffic lights with PSO algorithm in a single junction modeled with a cellular automaton

  • Author

    Aarab, Ilham ; Madani, Abdellah ; Kissi, Mohamed

  • Author_Institution
    Fac. of Sci., Dept. of Comput., LAROSERI, Chouaib Doukkali Univ., El-Jadida, Morocco
  • fYear
    2015
  • fDate
    25-26 March 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Among raised solutions for global flow optimization in traffic jam, we can quote traffic lights optimization. Several researches treated this problem and proposed different models to solve it. In this paper, we will use the cellular automaton to model the traffic flow in crossroads and the self-organizing method to control traffic lights and then we will apply the PSO algorithm to get the appropriate values of parameters for self-organizing method. We will demonstrate that PSO algorithm provides an optimal solution in order to improve the global flow.
  • Keywords
    cellular automata; particle swarm optimisation; road traffic control; self-organising feature maps; PSO algorithm; cellular automaton; global flow; global flow optimization; optimizing self-organizing method; single junction; traffic jam; traffic lights control; traffic lights optimization; Automata; Computational modeling; Junctions; Optimization; Roads; Switches; Vehicles; PSO algorithm; cellular automaton models; self-organizing method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Computer Vision (ISCV), 2015
  • Conference_Location
    Fez
  • Print_ISBN
    978-1-4799-7510-5
  • Type

    conf

  • DOI
    10.1109/ISACV.2015.7105537
  • Filename
    7105537