Car-following is a kind of driving behavior which is difficult to be expressed precisely, and is affected by multiple factors. In the work here, fuzzy reasoning theory is utilized to establish a fuzzy inference system composed of multiple neural networks, which contains traditional back-propagation neural network and wavelet networks. Moreover, on the basis of using various information around a driver sufficiently, the fuzzy neural networks system successfully simulated car-following behavior in single lane without lane-changing behavior and generated reliable simulation results.


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    Title :

    Simulation of car-following decision using fuzzy neural networks system


    Contributors:
    Sheng Li, (author)


    Publication date :

    2003-01-01


    Size :

    306014 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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