The invention relates to a mobile phone based vehicle abnormality driving behavior detection method and belongs to the field of intelligent transportation. The mobile phone based vehicle abnormality driving behavior detection method comprises four stages, wherein the first stage is an experimental stage, a large amount of various vehicle driving behavior data are obtained through a vehicle driving behavior simulation experiment, the second stage is a data processing stage, namely the effective data at the first stage are extracted according to a certain rule, the third stage is a data analysis and modeling stage, namely a large amount of effective data obtained at the second stage are analyzed, and a machine learning method of a support vector machine (SVM) is used for establishing a mode for recognizing various driving behaviors, the fourth stage is a real-time abnormal driving behavior detecting stage, namely the running state of a vehicle is detected through a real-time abnormal vehicle driving behavior recognition model. By means of the detection method, an abnormal vehicle driving behavior state can be detected in real time only by utilizing an existing mobile phone, additional input is not needed, abnormal vehicle driving behavior detection cost is reduced, and the recognition accuracy rate of abnormal vehicle driving behaviors is improved.


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    Titel :

    Mobile phone based vehicle abnormality driving behavior detection method


    Beteiligte:
    LIU HUAPING (Autor:in) / SHI HONGXING (Autor:in) / ZHOU HOUFEI (Autor:in)

    Erscheinungsdatum :

    2015-07-29


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR



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