• DocumentCode
    2501060
  • Title

    Mixed-traffic signal timing at signalized intersection based on adaptive co-evolutionary algorithm

  • Author

    He, Ming ; Wang, Hui

  • Author_Institution
    State Key Lab. of Ind. Control Technol. Res. Center of Intell. Transp. Syst., Univ. of Zhejiang, Hangzhou
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    8760
  • Lastpage
    8764
  • Abstract
    In order to solve the signal timing of the urban single-point intersection under the mixed-traffic, the shortest average delay were taken as objective, and the intersection geometry shape, channelization status and prohibition of traffic flow conflicts were taken as restrictions. A new global search algorithm combining adaptive genetic algorithm with co-evolutionary algorithm was put forward to solve the optimization problem, and simulation test with the actual data of Tiyuchang-Jianguo intersection indicates that the proposed algorithm overcomes the shortcomings such as local convergence, compared with traditional genetic algorithm; and it is feasible and effective for mixed-traffic signal timing at signalized intersection.
  • Keywords
    genetic algorithms; road traffic; search problems; timing; traffic engineering computing; Tiyuchang-Jianguo intersection; adaptive co-evolutionary algorithm; adaptive genetic algorithm; channelization status; global search algorithm; intersection geometry shape; mixed-traffic signal timing; signalized intersection; traffic flow conflicts; urban single-point intersection; Adaptive control; Automation; Genetic algorithms; Helium; Intelligent control; Intelligent transportation systems; Laboratories; Programmable control; Timing; Traffic control; adaptive genetic algorithm; co-evolutionary algorithm; intersection; mix traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594309
  • Filename
    4594309