Urban traffic control is a large and complex system. When traffic congestion occurs it generally cannot be resolved by the workings of a single intersection. Using a multi-agent system to set up a traffic control framework, we can simulate different control strategies. We have defined different kinds of traffic-control-agent classes while researching the interactions and dynamic adapting mechanism among agents. Utilizing self-organization and sliding window skills, we have designed an effective congestion control mechanism. In simulating the traffic environment, we obtained a valuable experimental result.


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    Titel :

    New Methods for Research in Multi-Agent Traffic Signal Control


    Beteiligte:
    Wu, Qian-jiao (Autor:in) / Lan, Rong (Autor:in)

    Kongress:

    Ninth International Conference of Chinese Transportation Professionals (ICCTP) ; 2009 ; Harbin, China


    Erschienen in:

    Erscheinungsdatum :

    2009-07-23




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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