摘要
Advanced driver-assistance systems such as Honda’s collision mitigation brake system(CMBS)can help achieve traffic safety.In this paper,the naturalistic driving study and a series of simulations are combined to better evaluate the performance of the CMBS in the Chinese traffic environment.First,because safety-critical situations can be diverse especially in the Chinese environment,the Chinese traffic-accident characteristics are analyzed according to accident statistics over the past 17 years.Next,10 Chinese traffic-accident scenarios accounting for more than 80%of traffic accidents are selected.For each typical scenario,353 representative cases are collected from the traffic-management department of Beijing.These real-world accident cases are then reconstructed by the traffic-accident-reconstruction software PC-Crash on the basis of accident-scene diagrams.This study also proposes a systematic analytical process for estimating the effectiveness of the technology using the co-simulation platform of PC-Crash and rateEFFECT,in which 176 simulations are analyzed in detail to assess the accident-avoidance performance of the CMBS.The overall collision-avoidance effectiveness reaches 82.4%,showing that the proposed approach is efficient for avoiding collisions,thereby enhancing traffic safety and improving traffic management.
先进驾驶辅助系统,如本田的碰撞缓解制动系统(CMBS),有助于保障交通安全。本文采用自然驾驶数据分析与仿真结合的方法,能更好地评估CMBS在中国交通环境中的性能。首先,由于中国交通环境中安全危急情况的多样性,本文根据过去17年的交通事故统计数据,分析了中国交通事故的特点;其次,筛选出占我国交通事故80%以上的10种交通事故情景,并从北京市交通管理部门收集了353个具有代表性的真实事故案例。所有的真实事故案例都基于事故现场图,通过交通事故重建软件PC-Crash实现了事故场景重建。最终通过搭建PC-Crash和rateEFFECT联合仿真平台并进行了总计176组仿真,对CMBS的避撞有效性进行了系统性的分析和评估。结果显示,其总体避碰效果达到82.4%,说明该系统具有良好的避碰性能,能够提高交通安,改善交通管理。
作者
ZHAO Zhi-guo
ZHENG Xun-jia
WANG Jian-qiang
XU Qing
KODAKA Kenji
赵志国;郑讯佳;王建强;许庆;KODAKA Kenji(Jiangsu Key Laboratory of Traffic and Transportation Security,Huaiyin Institute of Technology,Huaian 223001,China;State Key Laboratory of Automotive Safety and Energy,Tsinghua University,Beijing 100084,China;Honda R&D Co.Ltd.Automobile R&D Center,Tochigi 321-3393,Japan)
基金
Project(51625503) supported by the National Science Fund for Distinguished Young Scholars,China
Project(61790561) supported by the National Natural Science Foundation of China
Project(20163000124) supported by Tsinghua-Honda Joint Research,China
Project(TTS2017-02) supported by the Open Fund for Jiangsu Key Laboratory of Traffic and Transportation Security,China
