• DocumentCode
    570236
  • Title

    Type-2 fuzzy multiagent traffic signal control

  • Author

    Sabetghadam, B. ; Shabaninia, F. ; Vaziri, M. ; Vadhava, S.

  • fYear
    2012
  • fDate
    8-10 Aug. 2012
  • Firstpage
    509
  • Lastpage
    512
  • Abstract
    This paper proposes a controller design for urban traffic networks. The growing demand for faster transportation has led to heavy congestion in road traffic networks, necessitating the need for traffic-responsive intelligent signal control systems. The developed signal control system based on uncertain information of the environment must be capable of determining the green time that minimizes the overall delay. The proposed traffic controller is based on distributed multi-agent approach which is very efficient considering the uncertainties and parameter variations. The effectiveness of the proposed control method is verified by comparing the obtained result with that of a fixed time controller.
  • Keywords
    control system synthesis; delays; fuzzy control; fuzzy reasoning; fuzzy set theory; intelligent control; multi-agent systems; road traffic control; uncertain systems; controller design; distributed multiagent approach; overall delay minimization; parameter variations; road traffic networks; traffic congestion; traffic-responsive intelligent signal control systems; type-2 fuzzy inference engine; type-2 fuzzy multiagent traffic signal control system; uncertainties variations; urban traffic networks; Computer architecture; Control systems; Educational institutions; Fuzzy logic; Roads; Uncertainty; Vehicles; fuzzy model; multi-agent system; traffic network; type-2 fuzzy logic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Reuse and Integration (IRI), 2012 IEEE 13th International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4673-2282-9
  • Electronic_ISBN
    978-1-4673-2283-6
  • Type

    conf

  • DOI
    10.1109/IRI.2012.6303051
  • Filename
    6303051