Fleet Fatality Risk and its Sensitivity to Vehicle Mass Change in Frontal Vehicle-to-Vehicle Crashes, Using a Combined Empirical and Theoretical Model.
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引用次数: 0
Abstract
The objective of this study is to analytically model the fatality risk in frontal vehicle-to-vehicle crashes of the current vehicle fleet, and its sensitivity to vehicle mass change. A model is built upon an empirical risk ratio-mass ratio relationship from field data and a theoretical mass ratio-velocity change ratio relationship dictated by conservation of momentum. The fatality risk of each vehicle is averaged over the closing velocity distribution to arrive at the mean fatality risks. The risks of the two vehicles are summed and averaged over all possible crash partners to find the societal mean fatality risk associated with a subject vehicle of a given mass from a fleet specified by a mass distribution function. Based on risk exponent and mass distribution from a recent fleet, the subject vehicle mean fatality risk is shown to increase, while at the same time that for the partner vehicles decreases, as the mass of the subject vehicle decreases. The societal mean fatality risk, the sum of these, incurs a penalty with respect to a fleet with complete mass equality. This penalty reaches its minimum (~8% for the example fleet) for crashes with a subject vehicle whose mass is close to the fleet mean mass. The sensitivity, i.e., the rate of change of the societal mean fatality risk with respect to the mass of the subject vehicle is assessed. Results from two sets of fully regression-based analyses, Kahane (2012) and Van Auken and Zellner (2013), are approximately compared with the current result. The general magnitudes of the results are comparable, but differences exist at a more detailed level. The subject vehicle-oriented societal mean fatality risk is averaged over all possible subject vehicle masses of a given fleet to obtain the overall mean fatality risk of the fleet. It is found to increase approximately linearly at a rate of about 0.8% for each 100 lb decrease in mass of all vehicles in the fleet.
本研究的目的是对当前车辆正面碰撞的死亡风险及其对车辆质量变化的敏感性进行分析建模。该模型建立在现场数据的经验风险比-质量比关系和动量守恒理论质量比-速度变化率关系的基础上。将每辆车的死亡风险在接近的速度分布上取平均值,得到平均死亡风险。对两辆车的风险进行求和,并在所有可能的碰撞伙伴上取平均值,以找到与由质量分布函数指定的车队中给定质量的主题车辆相关的社会平均死亡风险。基于最近一个车队的风险指数和质量分布,随着车辆质量的降低,主体车辆的平均死亡风险增加,而伙伴车辆的平均死亡风险降低。社会平均死亡风险,这些风险的总和,导致了对一个完全质量平等的舰队的惩罚。当目标车辆的质量接近车队的平均质量时,这种惩罚达到最小值(约8%)。评估敏感性,即社会平均死亡风险相对于主题车辆质量的变化率。Kahane(2012)和Van Auken and Zellner(2013)两组完全基于回归的分析结果与当前结果进行了近似比较。结果的总体大小是可比较的,但在更详细的层面上存在差异。以目标车辆为导向的社会平均死亡风险对给定车队中所有可能的目标车辆质量求平均值,从而得到车队的总体平均死亡风险。研究发现,车队中所有车辆的质量每减少100磅,其增加率约为0.8%,呈近似线性增长。