Automotive safety is an important criterion for consumers, manufacturers and government regulators when considering vehicle design and driver operation. The availability of a driver classification system, based on in-vehicle operating data, offers a useful tool to create a safer transportation environment. In this paper, several mathematical strategies will be presented to analyse collected vehicle data for driver classification. A group of test subjects were supplied in-vehicle data acquisition devices and requested to drive their normal schedules. The collected data was analysed off-line and a driver classification system was proposed. Representative results will be presented and discussed to demonstrate the concept.


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    Titel :

    Analysis of in-vehicle driver behaviour data for improved safety


    Beteiligte:
    Jensen, M. (Autor:in) / Wagner, J. (Autor:in) / Alexander, K. (Autor:in)


    Erscheinungsdatum :

    2011


    Format / Umfang :

    16 Seiten, 6 Bilder, 3 Tabellen, 29 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch





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