When reconstructing vehicle accidents it is necessary in the course of the analysis to account for the uncertainty in the values of the key parameters such as tyre to road adhesion, the direction of vehicle movement both pre- and post-impact etc. In this paper Monte Carlo simulation methods are applied to accident reconstruction and accident avoidance analysis. Also the benefits which can be obtained from redundancy of the relationships describing the particular accident are examined. The results which can be obtained are demonstrated by a number of case studies.


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    Titel :

    Monte Carlo Simulation Methods Applied to Accident Reconstruction and Avoidance Analysis


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Wood, Denis P. (Autor:in) / O'Riordain, Sean (Autor:in)

    Kongress:

    International Congress & Exposition ; 1994



    Erscheinungsdatum :

    01.03.1994




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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    Wood, D. P. / O'Riordain, S. / Society of Automotive Engineers | British Library Conference Proceedings | 1994


    Monte Carlo simulation methods applied to accident reconstruction and avoidance analysis

    Wood,D.P. / O Riodain,S. / Wood and Ass.,US | Kraftfahrwesen | 1994


    Use of Monte Carlo Simulation Techniques in Accident Reconstruction

    Kost, G. / Werner, S. M. / Society of Automotive Engineers | British Library Conference Proceedings | 1994


    Use of Monte Carlo simulation technique in accident reconstruction

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    Use of Monte Carlo Simulation Techniques in Accident Reconstruction

    Kost, Garrison / Werner, Stephen M. | SAE Technical Papers | 1994