Aiming at improving the efficiency and effectiveness of traffic information processing, the paper firstly studied how to mine the tremendous GPS historical traffic data to get a concise and typical data sample. Then, based on the principle of "Minimization of Coefficient of Variance" of selected typical samples, it is explored for the selection technique of "statistical cycle time" about traffic information processing. The approach has been applied successfully in the modeling parameter optimization of the project of "A Model Research of Traffic Congestion Based on GPS Real Time Data" and its implementation.


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    Titel :

    Optimization of Traffic Information Processing Based on Data Mining from GPS Historical Data


    Beteiligte:
    Liu, Nan (Autor:in) / Peng, Peng (Autor:in) / Shen, Zuzhi (Autor:in) / Han, Haihang (Autor:in) / Deng, Mingrong (Autor:in)

    Kongress:

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



    Erscheinungsdatum :

    2009-07-29




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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