This paper proposes a mining method of the drivers' route selection preferences based on differential perceptron, which uses differential perception to learn and excavate drivers' preferences automatically, and could change adaptively according to the drivers' preferences changes. At last, this paper develops a mining system of drivers' route selection preferences based on differential perceptron with the help of VC++, MapX and SQL database. Some 20 drivers of all kinds are selected from Changchun City to test and evaluate this system. The drivers' testing data validate that the algorithm and the system is feasible and effective.


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    Title :

    The Mining Method of Drivers' Route Selection Preferences Based on Differential Perceptron


    Contributors:
    Wang, Yuan (author) / Yang, Zhaosheng (author) / Guan, Qing (author)

    Conference:

    First International Conference on Transportation Engineering ; 2007 ; Southwest Jiaotong University, Chengdu, China



    Publication date :

    2007-07-09




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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