Assessing performance of collision mitigation brake system in Chinese traffic environment

Abstract

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.

摘要

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。