We first describe the traffic congestion problem that many countries are facing with in the world. Then we propose a traffic incident detection algorithm based on non-parametric regression to solve the congestion problem. Finally, we compare the algorithm with other incident detection algorithms on the detection rate, false alarm rate and mean detection time. A simulation result shows the algorithm proposed has higher detection rate, lower false alarm rate and longer mean time detection. Furthermore, we state the direction of our next study.


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    Titel :

    Traffic incident detection algorithm based on non-parameter regression


    Beteiligte:
    Tang Shuming, (Autor:in) / Gong Xiaoyan, (Autor:in) / Wang Feiyue, (Autor:in)


    Erscheinungsdatum :

    01.01.2002


    Format / Umfang :

    485188 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    TRAFFIC INCIDENT DETECTION ALGORITHM BASED ON NON-PARAMETER REGRESSION

    Tang, S. / Gong, X. / Wang, F.-Y. et al. | British Library Conference Proceedings | 2002



    Traffic-Incident Detection-Algorithm Based on Nonparametric Regression

    Tang, S. / Gao, H. / IEEE | British Library Conference Proceedings | 2005