• DocumentCode
    642966
  • Title

    Multi-intersection two-way traffic light control with blocking using infinitesimal perturbation analysis

  • Author

    Yanfeng Geng ; Cassandras, Christos

  • Author_Institution
    Div. of Syst. Eng., Boston EngineeringUniv., Boston, MA, USA
  • fYear
    2013
  • fDate
    28-30 Aug. 2013
  • Firstpage
    382
  • Lastpage
    387
  • Abstract
    We address the traffic light control problem for multiple intersections in tandem by viewing it as a stochastic hybrid system and developing a Stochastic Flow Model (SFM) for it. Our model includes roads with two-way traffic and with finite vehicle capacity in-between intersections, which may lead to additional delays due to traffic blocking. Using Infinitesimal Perturbation Analysis (IPA), we derive on-line gradient estimates of an average traffic congestion metric with respect to the controllable green and red cycle lengths. The estimators are used to iteratively adjust light cycle lengths to improve performance and, in conjunction with a standard gradient-based algorithm, to obtain optimal values which adapt to changing traffic conditions. Simulation results are included to illustrate the approach.
  • Keywords
    delays; gradient methods; optical variables control; perturbation techniques; road traffic control; road vehicles; stochastic systems; SFM; controllable green cycle length; controllable red cycle length; delay; finite vehicle capacity; gradient-based algorithm; infinitesimal perturbation analysis; iterative light cycle length adjustment; multi-intersection two way traffic light control; online gradient estimation; stochastic flow model; stochastic hybrid system; traffic blocking; traffic congestion metric; Measurement; Roads; Stochastic processes; Switches; Vectors; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2013 IEEE International Conference on
  • Conference_Location
    Hyderabad
  • ISSN
    1085-1992
  • Type

    conf

  • DOI
    10.1109/CCA.2013.6662779
  • Filename
    6662779