Honggang Wang, Xinghua Wang, Yong Peng, Xin Lou, Zaining Li
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引用次数: 0
摘要
为满足高级驾驶辅助系统(ADAS)安全评估对高风险测试场景的要求,本研究从中国交通安全深度研究-交通事故(CIMSS-TA)数据库中选取了发生在湘潭县的239起车碰车事故。从静态道路要素、动态交通参与者和环境要素三个层面选取了七个场景要素。通过统计分析获得事故特征。结果显示,75.73% 的事故发生在 T 型路口/交叉口,34.73% 的事故由视觉障碍物引起。通过聚类分析,确定了六种典型的车辆与电动二轮车碰撞情景,包括两种直行道路情景(情景 3 和 6)、两种 T 形路口情景(情景 1 和 5)以及两种交叉路口情景(情景 2 和 4)。此外,通过分析车辆/二轮摩托车速度、车辆第一碰撞点、障碍物类型和位置等,构建了代表中国县级地区交通环境特征的六个车辆对二轮摩托车测试场景。结果表明,情景 4 中的车辆速度高于情景 2,平均值分别为 34.32 km/h 和 21.99 km/h。研究结果为 ADAS 的安全评估提供了测试场景,有助于改进车辆主动安全技术。
An investigation of ADAS testing scenarios based on vehicle-to-powered two-wheeler accidents occurring in a county-level district in Hunan province
To meet the requirements for high-risk testing scenarios in the safety assessment of advanced driver assistance systems (ADAS), this study selected 239 vehicle-to-powered two-wheeler accidents occurring in Xiangtan County from the China In-depth Mobility Safety Study—Traffic Accident (CIMSS-TA) database. Seven scenario elements were selected from the levels of static road elements, dynamic traffic participants and environment elements. The accident characteristics were obtained through statistical analysis. The results showed 75.73% of accidents occurred at T-junctions/intersections, and 34.73% of accidents were caused by the visual obstructions. Six typical vehicle-to-powered two-wheeler crash scenarios were established by cluster analysis, including two straight road scenarios (scenario 3 and 6), two T-junction scenarios (scenario 1 and 5), and two intersection scenarios (scenario 2 and 4). Furthermore, six vehicle-to-powered two-wheeler testing scenarios, which represent the traffic environment characteristics of Chinese county-level districts, were constructed by analyzing the vehicle/PTW speed, the first collision point of vehicle, obstacle type and location, etc. The results showed the vehicle speed in scenario 4 was higher than that in scenario 2, with the average values of 34.32 km/h and 21.99 km/h, respectively. The results of this study provided testing scenarios for the safety assessment of ADAS, and contributed to improving the vehicle active safety technology.