Comparison of delta-v and occupant impact velocity crash severity metrics using event data recorders.

D J Gabauer, H C Gabler
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Abstract

This research compares the ability of delta-V and the occupant impact velocity (OIV), a competing measure of crash severity, to predict occupant injury in real world collisions. A majority of the analysis is performed using 191 cases with vehicle kinematics data from Event Data Recorders (EDRs) matched with detailed occupant injury information. Cumulative probability of injury risk curves are generated using binary logistic regression for all data, a belted subset, and an unbelted subset. By comparing the available fit statistics and performing a separate ROC curve analysis, the more computationally intensive OIV is found to offer no significant predictive advantage over delta-V.

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使用事件数据记录仪比较delta-v和乘员冲击速度碰撞严重性指标。
这项研究比较了delta-V和乘员冲击速度(OIV)的能力,OIV是一种碰撞严重程度的竞争指标,用于预测现实世界碰撞中乘员的伤害。大部分分析使用了191个案例的车辆运动学数据,这些数据来自事件数据记录仪(EDRs),与详细的乘员受伤信息相匹配。使用二元逻辑回归对所有数据、系带子集和未系带子集生成伤害风险曲线的累积概率。通过比较可用的拟合统计数据并进行单独的ROC曲线分析,发现计算量更大的OIV与delta-V相比没有显著的预测优势。
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