• DocumentCode
    507298
  • Title

    Distributed Traffic Signal Control Approach Based on Multi-agent

  • Author

    Cheng Xiangjun ; Yang Zhaoxia

  • Author_Institution
    Traffic & Transp. Sch., Beijing Jiaotong Univ., Beijing, China
  • Volume
    5
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    582
  • Lastpage
    587
  • Abstract
    This paper establishes a distributed and coordinated traffic signal control system based on multi-agent (DTCMAS), in which there is no control center. Each intersection is controlled by a local agent independently. In the meantime, the signal control agents improves the control effect of global network by communication and coordination among agents in adjacent intersections. Because every agent comprises knowledge-database and reasoning mechanism, the DTCMAS not only fully considers the information of fleets of cars and traffic conditions in around intersections, but also takes the realization of global optimizing for traffic control of road network into account and reduces the complexity of control algorithm greatly. The result of simulation shows that the DTCMAS signal control approach reduces 37.8% total stop delay of cars averagely than the fixed-time method and reduces 17.8% total stop delay of cars averagely than the actuated method under the same condition.
  • Keywords
    multi-agent systems; traffic control; traffic engineering computing; adjacent intersection; control algorithm; coordinated traffic signal control system; distributed traffic signal control; fixed-time method; global network; knowledge database; multiagent; reasoning mechanism; road network control; signal control agent; traffic control center; Centralized control; Communication system control; Communication system traffic control; Control systems; Delay; Distributed control; Electronic mail; Roads; Traffic control; Transportation; distributed signal control; knowledge-base; multi-agent system; traffic simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.536
  • Filename
    5360554