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    Using fuzzy logic to control vehicles velocity in traffic system

    Access Status
    Fulltext not available
    Authors
    Alghamdi, A.
    Eren, Halit
    Date
    2013
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Alghamdi, A. and Eren, H. 2013. Using fuzzy logic to control vehicles velocity in traffic system. IFAC Proceedings Volumes. 46 (10): pp. 54-59.
    Source Title
    IFAC Proceedings Volumes (IFAC-PapersOnline)
    DOI
    10.3182/20130626-3-AU-2035.00033
    ISBN
    9783902823366
    School
    Department of Electrical and Computer Engineering
    Remarks

    Presented at the 2013 IFAC Intelligent Autonomous Vehicles Symposium, The International Federation of AUtomatic Control, Jun 26-28 2013. Gold Coast, Australia

    URI
    http://hdl.handle.net/20.500.11937/43535
    Collection
    • Curtin Research Publications
    Abstract

    Approaching the desired vehicle speed by using a FUZZY logic controller is the goal of this article. It provides a controller that both increases and decreases in velocity). The lead vehicle and the follow vehicle have the same input variables, such as velocity or velocity error, acceleration factor, reaction factor (a), and deceleration factor (ß), while the bumper-to-bumper gap (Xrel) is not important for the lead vehicle. The relation between inputs and output is discussed. This paper explains a novel approach to the simulation of a congestion system by using a closed-loop system for 69 vehicles. This work will continue to solve the congestion problem.

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