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事故数据库中的速度信息需要用基于能量守恒的事故再现方法来计算得到,而不同车辆的刚度差异很难估计,这导致所计算出的速度存在误差。这个问题直接影响到大部分用于估算驾驶员辅助系统有效性的方法的合理性,因为这些方法需要使用事故所涉及的车辆的速度信息。该文提出了基于车辆变形深度的汽车安全有效性的评价与预测方法。通过分析德国事故数据,证明了车辆变形深度相比于速度变化量能够更真实地反映事故严重程度。基于变形深度计算了过去30年汽车安全有效性的提高程度,与历史数据吻合较好,验证了基于变形深度的安全有效性评价方法的合理性。该文阐述了基于变形深度的驾驶员辅助系统安全有效性预测方法的思路。该预测方法仅需要事故数据库中准确的变形深度信息,能够获得更多的事故数据支持,从而可以更好地评价驾驶员辅助系统。
The speed information in the accident database needs to be calculated using an energy conservation-based accident reproduction method, and the difference in stiffness of different vehicles is hard to estimate, resulting in an error in the calculated speed. This problem directly affects the rationality of most of the methods used to estimate the effectiveness of driver assistance systems because these methods require the use of the speed information of the vehicles involved in the accident. This paper presents a method of evaluating and predicting the safety and effectiveness of a vehicle based on the depth of vehicle deformation. By analyzing the German accident data, it is proved that the deformation depth of vehicle can reflect the severity of the accident more faithfully than the variation of velocity. Based on the depth of deformation, the improvement of safety effectiveness of vehicles over the past 30 years was calculated, which is in good agreement with the historical data. The rationality of the safety and effectiveness evaluation method based on deformation depth is verified. This paper elaborates the idea of predicting the safety and effectiveness of driver assistance systems based on deformation depth. The prediction method only needs accurate deformation depth information in the accident database and can obtain more accident data support so that the driver assistance system can be evaluated better.