• DocumentCode
    478522
  • Title

    Research on the Coordination Optimization Method between Traffic Control and Traffic Guidance Based on Genetic Algorithm

  • Author

    Guan, Qing ; Yang, Zhaosheng ; Wang, Yuan ; Hu, Jianmeng ; Qin, Jian

  • Author_Institution
    Shanghai Baokang Electron. Control Eng. Co, Ltd., Shanghai
  • Volume
    6
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    320
  • Lastpage
    325
  • Abstract
    This paper proposes a coordination optimization method between traffic control and traffic guidance so as to alleviate traffic congestion spatially and temporally. Firstly, this paper summarizes the state of art in this field and brings forward the existing problems. Secondly, considering both network equilibrium control optimization and signal timing optimization, a coordination optimization model including optimization objective function and restriction is proposed. Then, a solution algorithm based on genetic algorithm is proposed. Finally, this paper selects a region with 30 intersections in Changchun city as field test region, uses field data and simulation data to test the method. It comes a conclusion that this method could alleviate traffic congestion to some extent.
  • Keywords
    genetic algorithms; road traffic; signal processing; traffic control; Changchun city; coordination optimization method; genetic algorithm; network equilibrium control optimization; optimization objective function; signal timing optimization; traffic congestion; traffic control; traffic guidance; Communication system traffic control; Control systems; Genetic algorithms; Heuristic algorithms; Optimization methods; Pollution; Roads; Testing; Timing; Traffic control; Genetic Algorithm; Traffic congestion; Traffic control; Traffic guidance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.779
  • Filename
    4667853