Using the fuzzy clustering approach, this paper studies the problem of state identification of road traffic. Firstly, the traffic characteristics of road network are analyzed in fuzzy theory view. Then the basic steps of traffic state identification are designed based on the fuzzy clustering method. At last a demonstration is given founded on a throughway traffic data of China. The result shows that the fuzzy clustering approach is promising for the dynamic identification of road traffic state.


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    Title :

    The study on the application of fuzzy clustering analysis in the dynamic identification of road traffic state


    Contributors:


    Publication date :

    2003-01-01


    Size :

    258035 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English