The lack of a large number of crash data waveforms can limit the reliability of electronic Crash Detection Algorithms (CDAs). This paper discusses how statistics and the Monte Carlo (MC) method can be used to generate a large number of crash waveforms, and therefore increase CDA reliability. The MC method is used to model a crash waveform into two parts: an underlying crash waveform, and noise superimposed on the crash. The noise statistics are then varied and recombined with the underlying crash waveform to generate a large number of new crash waveforms. In addition Rough Road models were developed and concatenated with crash waveforms to better simulate real life. Finally a comparison between two CDAs was performed. The results show that one CDA is more robust than the other.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Automobile crash modeling and the Monte Carlo method


    Additional title:

    Simulation von Autounfällen und die Monte-Carlo-Methode


    Contributors:
    Piskie, M.A. (author) / Gioutsos, T. (author)

    Published in:

    Publication date :

    1992


    Size :

    5 Seiten, 9 Bilder, 2 Tabellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Automobile crash modeling and the Monte Carlo method

    Piskie,M.A. / Gioutsos,T. / Automotive Systems Lab.,US | Automotive engineering | 1992


    Automobile Crash Modeling and the Monte Carlo Method

    Piskie, Michael A. / Gioutsos, Tony | SAE Technical Papers | 1992


    Sensitivity of Monte Carlo Modeling in Crash Reconstruction

    Fleck, Garrett / Daily, Jeremy | SAE Technical Papers | 2010


    Sensitivity of Monte Carlo modeling in crash reconstruction

    Fleck,G. / Daily,J.S. / The Univ.of Tulsa,US | Automotive engineering | 2010


    2010-01-0071 Sensitivity of Monte Carlo Modeling in Crash Reconstruction

    Fleck, G. / Daily, J.S. / Society of Automotive Engineers | British Library Conference Proceedings | 2010