Multi-agents Systems for Intelligent Control of Traffic Signals

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

    6 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

    Fingerprint

    Traffic signals
    Intelligent control
    Multi agent systems
    Fuzzy logic
    Knowledge based systems
    Fuzzy rules
    Decision making
    Controllers

    Cite this

    Mohammadian, M. (2006). Multi-agents Systems for Intelligent Control of Traffic Signals. In M. Mohammadian (Ed.), International Conference on Computational Intelligence for Modelling Control and Automation, and International Conference on Intelligent Agents,Web Technologies and Internet Commerce (CIMCA-IAWTIC'06) (pp. 1-6). USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CIMCA.2006.152
    Mohammadian, Masoud. / Multi-agents Systems for Intelligent Control of Traffic Signals. International Conference on Computational Intelligence for Modelling Control and Automation, and International Conference on Intelligent Agents,Web Technologies and Internet Commerce (CIMCA-IAWTIC'06). editor / Masoud Mohammadian. USA : IEEE, Institute of Electrical and Electronics Engineers, 2006. pp. 1-6
    @inproceedings{cc55177f1cb24bebb02022f8ef8de753,
    title = "Multi-agents Systems for Intelligent Control of Traffic Signals",
    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",
    author = "Masoud Mohammadian",
    year = "2006",
    doi = "10.1109/CIMCA.2006.152",
    language = "English",
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    pages = "1--6",
    editor = "Masoud Mohammadian",
    booktitle = "International Conference on Computational Intelligence for Modelling Control and Automation, and International Conference on Intelligent Agents,Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)",
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    Mohammadian, M 2006, Multi-agents Systems for Intelligent Control of Traffic Signals. in M Mohammadian (ed.), International Conference on Computational Intelligence for Modelling Control and Automation, and International Conference on Intelligent Agents,Web Technologies and Internet Commerce (CIMCA-IAWTIC'06). IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 1-6, CIMCA'2006 and IAWTIC'2006, Sydney, Australia, 29/11/06. https://doi.org/10.1109/CIMCA.2006.152

    Multi-agents Systems for Intelligent Control of Traffic Signals. / Mohammadian, Masoud.

    International Conference on Computational Intelligence for Modelling Control and Automation, and International Conference on Intelligent Agents,Web Technologies and Internet Commerce (CIMCA-IAWTIC'06). ed. / Masoud Mohammadian. USA : IEEE, Institute of Electrical and Electronics Engineers, 2006. p. 1-6.

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

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    N2 - 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

    AB - 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

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    BT - International Conference on Computational Intelligence for Modelling Control and Automation, and International Conference on Intelligent Agents,Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)

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    Mohammadian M. Multi-agents Systems for Intelligent Control of Traffic Signals. In Mohammadian M, editor, International Conference on Computational Intelligence for Modelling Control and Automation, and International Conference on Intelligent Agents,Web Technologies and Internet Commerce (CIMCA-IAWTIC'06). USA: IEEE, Institute of Electrical and Electronics Engineers. 2006. p. 1-6 https://doi.org/10.1109/CIMCA.2006.152