In this paper, an iterative learning control scheme is developed to the traffic density control in a macroscopic level freeway environment. With rigorous analysis, the proposed intelligent control scheme guarantees the asymptotic convergence of the traffic density to the desired one. The control scheme is applied to a freeway model, and simulation results confirm the efficacy of the proposed approach.


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    Title :

    Freeway traffic density control using iterative learning control approach


    Contributors:


    Publication date :

    2003-01-01


    Size :

    374026 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English