摘要
基于国家车辆事故深度调查体系中499例真实的路口事故数据,研究适应于中国的自动紧急制动系统(AEB)路口测试场景。通过基于多元Logistic回归的事故严重程度影响因素分析,提取自动驾驶测试场景的特征要素,构建测试场景。以场景特征要素为聚类参数,采用层次聚类算法挖掘得到了8类路口机动车碰撞典型危险场景,建立了8类适应于中国交通状况的AEB路口测试场景。研究表明:中国的路口场景与Euro-NCAP法规场景有一定的相似性,但较国外更加复杂,其中十字路口的左转与直行冲突是需要重点测试的场景。研究结果可为国内AEB系统的开发和测试提供参考,也可作为建立中国AEB路口测试评价体系的依据。
Based on 499 real intersection accident data in the national automobile accident in-depth investigation system,this paper aims to study the Autonomous Emergency Braking system(AEB)intersection test scenarios adapted to China.The feature elements of the autonomous driving test scenarios are extracted by analyzing the factors affecting the severity of accidents based on multi-Logistic regression,and the test scenarios are constructed.Taking scenario feature elements as clustering parameters,the hierarchical clustering algorithm is used to obtain 8 kinds of typical dangerous scenarios of the collision in intersections.Eight kinds of AEB intersection test scenarios adapted to China’s traffic conditions are established.The research shows that China’s intersection scenarios have certain similarities with the Euro-NCAP regulations,but they are more complicated than foreign countries,and the conflict of turn left and go straight at crossroads is the scenario that needs to be focused on.This study takes the lead in conducting domestic AEB intersection test scenarios research,which can provide reference for the development and test of domestic AEB system,and can be used as the basis for establishing China AEB intersection test evaluation system.
作者
徐向阳
周兆辉
胡文浩
肖凌云
李文娟
王书翰
XU Xiangyang;ZHOU Zhaohui;HU Wenhao;XIAO Lingyun;LI Wenjuan;WANG Shuhan(School of Transportation Science and Engineering,Beihang University,Beijing 100083,China;Defective Product Administrative Center,State Administration for Market Regulation(SAMR),Beijing 100101,China)
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
2020年第10期1817-1825,共9页
Journal of Beijing University of Aeronautics and Astronautics
基金
中央基本科研业务费项目(282019Y-6694,HT2018X-0185)。
