In this paper, we present a new method to evaluate congestion from traffic flow information based on fuzzy logic. Level of congestion is considered as a continuous variable from free flow to traffic jam. After a simulation, we used adaptive neuro-fuzzy inference system and trained a series of fuzzy logic rules, to estimate the congestion. As a result, general perception of judging congestion is recovered by the fuzzy system with basic traffic parameters.


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    Title :

    Congestion evaluation from traffic flow information based on fuzzy logic


    Contributors:
    Jia Lu, (author) / Li Cao, (author)


    Publication date :

    2003-01-01


    Size :

    209513 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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