• DocumentCode
    582804
  • Title

    Port traffic signal control method based on gradient descent and PSO Algorithm

  • Author

    Jun, Zhang ; Mei-jing, Ge ; Mei-na, Sun ; Jun-tao, Xue ; Zheng-ling, Yang ; Xiao-dong, Lu

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    7338
  • Lastpage
    7342
  • Abstract
    To improve the efficiency of particle swarm optimization (PSO) used in traffic signal timing, some methods were talked about. In this paper, a new method Particle Swarm Optimization Algorithm with Global Best Gradient Descent was proposed. Not only can this algorithm avoid the optimal value getting into a local extreme, but also simple and efficient. Through comparing the simulation results of the mentioned methods in this paper, the conclusion was drawn. Simulation results show that this algorithm can get a higher efficiency when applied to port traffic signal timing compared with other intelligence methods.
  • Keywords
    gradient methods; particle swarm optimisation; ships; PSO Algorithm; global best gradient descent; particle swarm optimization algorithm; port traffic signal control method; traffic signal timing; Algorithm design and analysis; Annealing; Delay; Particle swarm optimization; Simulated annealing; Vehicles; Port traffic; gradient descent; particle swarm optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • Conference_Location
    Hefei
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Type

    conf

  • Filename
    6391238