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首页> 美国卫生研究院文献>Annals of Advances in Automotive Medicine / Annual Scientific Conference >Pedestrian injury risk functions based on contour lines of equal injury severity using real world pedestrian/passenger-car accident data
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Pedestrian injury risk functions based on contour lines of equal injury severity using real world pedestrian/passenger-car accident data

机译：使用现实世界中行人/乘车人的事故数据基于等高伤势等高线的行人伤害风险函数

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Injury risk assessment plays a pivotal role in the assessment of the effectiveness of Advanced Driver Assistance Systems (ADAS) as they specify the injury reduction potential of the system. The usual way to describe injury risks is by use of injury risk functions, i.e. specifying the probability of an injury of a given severity occurring at a specific technical accident severity (collision speed). A method for the generation of a family of risk functions for different levels of injury severity is developed. The injury severity levels are determined by use of a rescaled version of the Injury Severity Score (ISS) namely the ISSx. The injury risk curves for each collision speed is then obtained by fixing the boundary conditions and use of a case-by-case validated GIDAS subset of pedestrian-car accidents (N=852). The resultant functions are of exponential form as opposed to the frequently used logistic regression form. The exponential approach in combination with the critical speed value creates a new injury risk pattern better fitting for high speed/high energy crashes. Presented is a family of pedestrian injury risk functions for an arbitrary injury severity. Thus, the effectiveness of an ADAS can be assessed for mitigation of different injury severities using the same injury risk function and relying on the internal soundness of the risk function with regard to different injury severity levels. For the assessment of emergency braking ADAS, a Zone of Effective Endangerment Increase (ZEEI), the speed interval in which a one percent speed increase results at least in a one percent of injury risk increase, is defined. The methodology presented is kept in such general terms that a direct adaption to other accident configurations is easily done.
机译：伤害风险评估在高级驾驶员辅助系统（ADAS）的有效性评估中起着举足轻重的作用，因为它们指定了该系统减少伤害的潜力。描述伤害风险的常用方法是使用伤害风险函数，即指定在特定技术事故严重性（碰撞速度）下发生给定严重性的伤害概率。开发了一种针对不同程度的伤害严重性生成风险函数族的方法。伤害严重程度级别使用伤害严重度评分（ISS）的重新缩放版本确定。然后通过固定边界条件并使用逐案验证的行人车祸的GIDAS子集（N = 852），获得每种碰撞速度的伤害风险曲线。所得函数为指数形式，与常用的逻辑回归形式相反。指数方法与临界速度值相结合，创建了一种新的伤害风险模式，更好地适合于高速/高能量碰撞。提出了一系列针对任意伤害严重程度的行人伤害风险功能。因此，可以使用相同的伤害风险功能，并根据风险功能的内部健全性，针对不同的伤害严重性水平，评估ADAS缓解不同伤害严重程度的有效性。为了评估紧急制动ADAS，定义了有效危险增加区（ZEEI），即速度增加1％至少导致伤害风险增加1％的速度间隔。所介绍的方法以这样的笼统术语保存，以便轻松地直接适应其他事故配置。

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