Abstract This paper proposed a method of detecting taxi driving anomalous route using the GPS sampling data. After analyzing the characteristics of sampling data, such as discrete and uneven, and taking into account that the traditional anomaly detection methods are hard to be applied directly in this field as well as high computation complexity, the mapping trajectory is defined and the new anomaly detection method is proposed based on the grid concept, which doesn’t require measure the distance or density during anomaly detection procedure and thus alleviates the computing resource requirements. To validate the proposed method, the real-life GPS sampling dataset is used and the experimental results confirm that our proposed method is effective.


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    Titel :

    Taxi Driving Anomalous Route Detection Using GPS Sampling Data


    Beteiligte:
    Ding, Zhiguo (Autor:in)


    Erscheinungsdatum :

    2017-01-01


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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