• DocumentCode
    498942
  • Title

    Application of PSO algorithm to coordinated ramp control

  • Author

    Liang, Xin-rong ; Fan, Ye-kun ; Jiang, Tao

  • Author_Institution
    Coll. of Inf., Wuyi Univ., Jiangmen, China
  • Volume
    3
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    1712
  • Lastpage
    1716
  • Abstract
    A multilayer control structure and PSO (Particle Swarm Optimization) algorithm are used for coordinated ramp control on freeways. The macroscopic model to describe the evolution of freeway traffic flow is built and the PSO algorithm is formulated. The control system is vertically decomposed into three layers: The adaptation layer to specify the values of disturbances and to adjust the parameters of traffic models, the coordination layer to determine the desired traffic density in each freeway section according to the current traffic state, and the direct control layer to keep the actual values of the traffic density in the vicinity of the nominal trajectories via PI control. PSO algorithm is used to find the optimal PI parameters of the direct control layer. Simulation results show that the control system is of good performance. It can eliminate traffic jams, maintain traffic flow stability, and make vehicles travel more efficiently and safely.
  • Keywords
    PI control; particle swarm optimisation; road traffic; traffic control; PI control; PSO algorithm; control system; coordinated ramp control; freeway section; freeway traffic flow; macroscopic model; multilayer control structure; particle swarm optimization algorithm; traffic density; traffic flow stability; traffic jams; traffic model; traffic state; Automatic control; Control system synthesis; Control systems; Cybernetics; Educational institutions; Machine learning; Machine learning algorithms; Nonhomogeneous media; Pi control; Traffic control; Freeway; Multilayer control; PI control; PSO; Traffic flow model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212350
  • Filename
    5212350