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    Analysis and solutions of congestion of vehicles using DTCA, FUZZY logic, and ITS on highways

    199557_Alghamdi 2014.pdf (31.04Mb)
    Access Status
    Open access
    Authors
    AlGhamdi, Ahmed S.
    Date
    2013
    Supervisor
    Dr Ali Mansour
    Dr Halit Eren
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Faculty of Science and Engineering, School of Electrical and Computing Engineering, Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/1451
    Collection
    • Curtin Theses
    Abstract

    Dynamic Traffic Cellular Automata (DTCA) method has been used to develop a mathematical model of vehicular traffic flow based on acceleration, velocity and position. This model is extended to investigate human driver behavior using Fuzzy Logic algorithms including; asymmetric auto driving, symmetric auto driving, and the driver behavior using ITS. Congestions have been created and solutions are offered thus leading to a better understanding traffic flow, aggregate fuel consumption, and emissions caused by clusters of vehicles. In simulation, ITS is used to provide inter-vehicular information leading to avoidance of congestions, fuel control, and emission reduction.

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