Autoliv Research, Wallentinsvägen 22, 447 83, Vårgårda, Sweden.
Autoliv Research, Wallentinsvägen 22, 447 83, Vårgårda, Sweden.
Accid Anal Prev. 2018 Feb;111:311-320. doi: 10.1016/j.aap.2017.12.001. Epub 2017 Dec 17.
The objective of this study is to predict the real-life benefits, namely the number of injuries avoided rather than the reduction in impact speed, offered by a Vacuum Emergency Brake (VEB) added to a pedestrian automated emergency braking (AEB) system. We achieve this through the virtual simulation of simplified mathematical models of a system which incorporates expected future advances in technology, such as a wide sensor field of view, and reductions in the time needed for detection, classification, and brake pressure build up. The German In-Depth Accident Study database and the related Pre Crash Matrix, both released in the beginning of 2016, were used for this study and resulted in a final sample of 526 collisions between passenger car fronts and pedestrians. Weight factors were calculated for both simulation model and injury risk curves to make the data representative of Germany as a whole. The accident data was used with a hypothetical AEB system in a simulation model, and injury risk was calculated from the new impact speed using injury risk curves to generate new situations using real accidents. Adding a VEB to a car with pedestrian AEB decreased pedestrian casualties by an additional 8-22%, depending on system setting and injury level, over the AEB-only system. The overall decrease in fatalities was 80-87%, an improvement of 8%. Collision avoidance was improved by 14-28%. VEB with a maximum deceleration in the middle of the modelled performance range has an effectiveness similar to that of an "early activation" system, where the AEB is triggered as early as 2 s before collision. VEB may therefore offer a substantial increase in performance without increasing false positive rates, which earlier AEB activation does. Most collisions and injuries can be avoided when AEB is supplemented by the high performance VEB; remaining cases are characterised by high pedestrian walking speed and late visibility due to view obstructions. VEB is effective in all analysed accident scenarios.
本研究旨在预测实际效益,即避免受伤的人数,而不是降低碰撞速度,这是通过在行人自动紧急制动(AEB)系统中添加真空紧急制动(VEB)实现的。我们通过对系统的简化数学模型进行虚拟仿真来实现这一目标,该系统包含了预期的未来技术进步,如更宽的传感器视场和检测、分类和制动压力建立所需时间的减少。德国深入事故研究数据库和相关的碰撞前矩阵于 2016 年初发布,本研究使用了这些数据库和矩阵,最终样本为 526 起乘用车前部与行人碰撞事故。为了使数据具有代表性,计算了模拟模型和伤害风险曲线的权重因素,以代表整个德国。事故数据在模拟模型中与假设的 AEB 系统一起使用,新的冲击速度使用伤害风险曲线进行计算,以生成使用真实事故的新情况。在具有行人 AEB 的汽车上添加 VEB,根据系统设置和伤害程度,行人伤亡人数额外减少 8-22%,而 AEB 系统仅减少 80-87%。死亡率的整体下降了 8%。碰撞避免率提高了 14-28%。在模拟性能范围内的最大减速中间添加 VEB,其效果类似于“早期激活”系统,即 AEB 在碰撞前 2 秒就被触发。因此,VEB 可以在不增加误报率的情况下,显著提高性能,而早期的 AEB 激活则会增加误报率。当 AEB 得到高性能 VEB 的补充时,可以避免大多数碰撞和伤害;其余的情况是行人行走速度高和由于视线受阻而可见度低。VEB 在所有分析的事故场景中均有效。