From the viewpoint of macroscopical dynamic characteristics of urban expressway traffic flow, a commonly used macroscopic dynamic deterministic traffic flow model for traffic control is analysed, the neural network model for the urban expressway traffic flow is established and the urban expressway multi-variable neural control strategy with both the on-ramp control and the road speeds control is presented. This control strategy is a servo system where both state and control can be followed. Finally as an example, Hangzhou urban expressway is simulated and the result is satisfied.


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    Title :

    Urban expressway traffic flow modeling and control using artificial neural networks


    Contributors:
    Shen Guojiang, (author) / Dai Huaping, (author) / Liu Xiang, (author) / Wang Zhi, (author) / Sun Youxian, (author)


    Publication date :

    2003-01-01


    Size :

    358635 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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