Measurement of driver performance, with regard to safety, has traditionally posed great difficulty. While safety is often discussed in terms of risk probabilities, measurement of risk probability is hampered by several factors. First, accidents are relatively rare occurrences. Furthermore, the identifying event (the accident) occurs at the end of the time period which contains the precipitating events. As a result, it is quite difficult to monitor for potential accident scenarios. In addition, accidents are most typically the result of several compounding factors, which makes determination of causality very difficult.The safety state network is a probabilistic model which captures the behavior of a system. Based on a finite Markov network, the safety state network models the human/machine and human/human interactions in a transportation system and forms a framework for capturing and comparing the probabilistic decision patterns of control elements in a transportation system. This paper discusses the theoretical basis of the safety state model, and applications to measuring driver performance.


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    Titel :

    Using the Safety State Model to Measure Driver Performance


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    International Congress & Exposition ; 1995



    Erscheinungsdatum :

    01.02.1995




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch


    Schlagwörter :


    Using safety state model to measure driver performance

    Lanzilotta,E.J. / Massachusetts Inst.of Technology,Cambridge,US | Kraftfahrwesen | 1995


    Using the Safety State Model to Measure Driver Performance

    Lanzilotta, E. J. / SAE | British Library Conference Proceedings | 1995


    Analysis of Driver Safety Performance Using Safety State Model

    Lanzilotta, Edward J. | Online Contents | 1995


    Driver Education - A Difficult but Possible Safety Measure

    Gregersen, N. P. | British Library Conference Proceedings | 2005


    ACTIVE SAFETY DRIVER ASSISTANCE SYSTEM BASED ON DRIVER REAL-TIME STATE MONITORING

    LIU CAIXIA | Europäisches Patentamt | 2024

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