基于事故数据挖掘的AEB路口测试场景

doi:10.13700/j.bh.1001-5965.2019.0548

北京航空航天大学学报 ›› 2020, Vol. 46 ›› Issue (10): 1817-1825.doi: 10.13700/j.bh.1001-5965.2019.0548

基于事故数据挖掘的AEB路口测试场景

徐向阳¹, 周兆辉¹, 胡文浩¹, 肖凌云², 李文娟¹, 王书翰¹

1. 北京航空航天大学交通科学与工程学院, 北京 100083;
2. 国家市场监督管理总局缺陷产品管理中心, 北京 100101

收稿日期:2019-10-17 发布日期:2020-10-29
通讯作者: 王书翰 E-mail:wsh@buaa.edu.cn
作者简介:徐向阳男,博士,教授,博士生导师。主要研究方向:车辆自动传动与控制理论、分布式电驱技术、自动驾驶;周兆辉男,硕士研究生。主要研究方向:自动驾驶;胡文浩男,博士研究生。主要研究方向:自动驾驶;肖凌云男,博士,高级工程师。主要研究方向:汽车召回技术;李文娟女,博士。主要研究方向:自动驾驶;王书翰男,博士,副教授,硕士生导师。主要研究方向:车辆自动传动与控制理论、自动驾驶。
基金资助:
中央基本科研业务费项目（282019Y-6694，HT2018X-0185）

Intersection test scenarios for AEB based on accident data mining

XU Xiangyang¹, ZHOU Zhaohui¹, HU Wenhao¹, XIAO Lingyun², LI Wenjuan¹, WANG Shuhan¹

1. School of Transportation Science and Engineering, Beihang University, Beijing 100083, China;
2. Defective Product Administrative Center, State Administration for Market Regulation(SAMR), Beijing 100101, China

Received:2019-10-17 Published:2020-10-29
Supported by:
the Fundamental Research Funds for the Central Government (282019Y-6694,HT2018X-0185)

摘要/Abstract

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。

关键词: 测试场景, 自动紧急制动系统(AEB), 路口事故, Logistic回归, 聚类分析

Abstract: 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.

Key words: test scenarios, Autonomous Emergency Braking system (AEB), Intersection accident, Logistic regression, cluster analysis

中图分类号:

U467.1

徐向阳, 周兆辉, 胡文浩, 肖凌云, 李文娟, 王书翰. 基于事故数据挖掘的AEB路口测试场景[J]. 北京航空航天大学学报, 2020, 46(10): 1817-1825.

XU Xiangyang, ZHOU Zhaohui, HU Wenhao, XIAO Lingyun, LI Wenjuan, WANG Shuhan. Intersection test scenarios for AEB based on accident data mining[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(10): 1817-1825.

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基于事故数据挖掘的AEB路口测试场景

Intersection test scenarios for AEB based on accident data mining

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