Traffic prediction method and the correctness of its result are very important for vehicle management, so highway traffic prediction method has a close relationship with vehicle safety. Traditional prediction method has some problems, such as low accuracy and efficiency, so we present a model based on the combination of genetic algorithms and artificial neural network, and by improving these two algorithms in the process of implementation, increase further the accuracy and efficiency of the model. At last, some experiments are made to prove its fine performance.


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    Title :

    Highway traffic prediction with neural network and genetic algorithms


    Contributors:
    WangYan, (author) / Wang Hua, (author) / Xia Limin, (author)


    Publication date :

    2005-01-01


    Size :

    914565 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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