作者: Douglas J. Gabauer , Hampton C. Gabler
DOI: 10.1016/J.AAP.2007.08.011
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摘要: The occupant impact velocity (OIV) and acceleration severity index (ASI) are competing measures of crash used to assess injury risk in full-scale tests involving roadside safety hardware, e.g. guardrail. Delta-V, or the maximum change vehicle velocity, is traditional metric for real world crashes. This study compares ability OIV, ASI, delta-V discriminate between serious non-serious frontal collisions. Vehicle kinematics data from event recorders (EDRs) were matched with detailed information 180 Cumulative probability curves generated using binary logistic regression belted unbelted subsets. By comparing available fit statistics performing a separate ROC curve analysis, more computationally intensive OIV ASI found offer no significant predictive advantage over simpler delta-V.