Multi-agents Systems for Intelligent Control of Traffic Signals

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    7 Citations (Scopus)

    Abstract

    In this paper the application of a multiagent system for controlling a set of traffic signals is considered. A fuzzy logic control scheme to regulate the flow of traffic approaching a set of three intersections is presented. The signal timing parameters, green phase splits and offset, are adjusted online based on the actual traffic approaching each intersection. An adaptive fuzzy logic traffic controller (FLTC) is used to adjust the green phase splits of the north-south and east-west approaches of each traffic signal. Each intersection is coordinated with its adjacent intersections by a multiagent system. The multiagent system uses a fuzzy rule based system for its decision making to coordinate all three intersections simultaneously. The effectiveness of the proposed control strategy is established through simulations
    Original languageEnglish
    Title of host publicationInternational Conference on Computational Intelligence for Modelling Control and Automation, and International Conference on Intelligent Agents,Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)
    EditorsMasoud Mohammadian
    Place of PublicationUSA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages1-6
    Number of pages6
    ISBN (Print)0769527310
    DOIs
    Publication statusPublished - 2006
    EventCIMCA'2006 and IAWTIC'2006 - Sydney, Australia
    Duration: 29 Nov 20061 Dec 2006

    Conference

    ConferenceCIMCA'2006 and IAWTIC'2006
    CountryAustralia
    CitySydney
    Period29/11/061/12/06

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