Abstract Rollover accidents are relatively more serious than other types of accidents, so it is important that the safety device functions appropriately. For the safety device to work correctly, a rollover criteria system which can predict a rollover is needed. To Figure out the characteristics of rollover, NASS-CDS was used to statistically analyze the seriousness of accident and passenger injuries in various rollover situations. Typical scenarios for each rollover type were established by referring to the test criteria of NHTSA. Rollovers can be largely categorized into tripped or un-tripped rollover depending on the situation, but there is no method for estimating the velocity of the car in each situation. This paper suggests methods for estimating the car velocity through finding the relationship between car velocity and quarter turns by performing repetitive simulation in established typical scenarios. Additionally, simple physical models for rollover were developed and each model was analyzed to find the rollover criteria for each type. The rollover criteria were verified by simulating various rollover situations. The rollover criteria suggested would be helpful in predicting a rollover and appropriately activating the safety device.


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    Titel :

    Characteristic analysis of vehicle rollover accidents: Rollover scenarios and prediction/warning


    Beteiligte:
    Han, Inhwan (Autor:in) / Rho, Kyungtae (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2017-04-01


    Format / Umfang :

    11 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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