当前位置: X-MOL 学术Int. J. Crashworth. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Assessing the effect of pedestrian deceleration on pedestrian autonomous emergency braking systems
International Journal of Crashworthiness ( IF 1.9 ) Pub Date : 2021-05-17 , DOI: 10.1080/13588265.2021.1927611
Tiefang Zou 1, 2, 3 , Zhuzi Liu 2 , Danqi Wang 1, 2 , Tao Chen 3
Affiliation  

Abstract

The aim of the manuscript is to access whether the Rate of Collision Avoidance (RCA) will be improved by considering the pedestrian deceleration in the Pedestrian Autonomous Emergency Braking Systems (AEB-P). A vehicle braking method by considering the pedestrian deceleration was proposed firstly, and then through the Monte Carlo optimization algorithm optimal combinations of 7 input parameters were obtained by applying the method to 124 actual collisions, finally the single factor analysis method was used to explore the effects of each parameter on the RCA. Through observation from actual collisions, the interval of pedestrian deceleration was [0.1, 8.2]m/s2 with a median value of 4.2 m/s2 in an emergency. The optimal average value of the detection angle, the minimum detection distance, the lateral trigger distance, the pedestrian warning trigger distance, the lag time, the pedestrian deceleration and its reaction time is 60°, 25 m, 3.5 m, 0 m, 0 s, −8 m/s2 and 0 s, respectively. The maximum RCA = 84.68% was obtained based on optimal combinations. All analyses consistently found that the RCA increases as pedestrian deceleration increases. Results shown that we can consider pedestrian deceleration in the AEB-P to improve the performance of the system and subsequently improve the RCA.



中文翻译:

评估行人减速对行人自主紧急制动系统的影响

摘要

手稿的目的是通过考虑行人自主紧急制动系统 (AEB-P) 中的行人减速来了解是否会提高避碰率 (RCA)。首先提出了一种考虑行人减速度的车辆制动方法,然后通过蒙特卡罗优化算法,将该方法应用于124次实际碰撞,得到7个输入参数的最优组合,最后采用单因素分析方法进行效果探索。 RCA 上的每个参数。通过实际碰撞观察,行人减速区间为[0.1, 8.2]m/s 2,中值为4.2 m/s 2在紧急情况下。检测角度、最小检测距离、横向触发距离、行人预警触发距离、滞后时间、行人减速及其反应时间的最佳平均值为60°、25m、3.5m、0m、0 s,-8 m/s 2和 0 s,分别。基于最佳组合获得最大 RCA = 84.68%。所有分析一致发现,RCA 随着行人减速度的增加而增加。结果表明,我们可以在 AEB-P 中考虑行人减速来提高系统的性能,进而提高 RCA。

更新日期:2021-05-17
down
wechat
bug