Citation: | XU Xiangyang, ZHOU Zhaohui, HU Wenhao, et al. Intersection test scenarios for AEB based on accident data mining[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(10): 1817-1825. doi: 10.13700/j.bh.1001-5965.2019.0548(in Chinese) |
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.
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