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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    Titel :

    Urban expressway traffic flow modeling and control using artificial neural networks


    Beteiligte:
    Shen Guojiang, (Autor:in) / Dai Huaping, (Autor:in) / Liu Xiang, (Autor:in) / Wang Zhi, (Autor:in) / Sun Youxian, (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    358635 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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