Link travel time prediction is a focus of intelligent transportation system (ITS) research. Through comparing the performances of the existing prediction algorithm, this article tries to integrate rough set and BP neural network to establish a new one for link travel time prediction. By comparing the predicted values of travel time to the real travel time, the predicted model is verified to be effective.


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    Title :

    Link Travel Time Prediction Based on the Integration of Rough Set and BP Neural Network


    Contributors:
    Yao, Chen (author) / Henk, J. Van Zuylen (author) / Luo, Xia (author) / Liu, Haixu (author)

    Conference:

    Second International Conference on Transportation Engineering ; 2009 ; Southwest Jiaotong University, Chengdu, China



    Publication date :

    2009-07-29




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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