Citation: | XU X Y,HU W H,ZHANG Y,et al. Pre-crash scenarios and AEB optimization between vehicle and two-wheeler[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(1):1-9 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0184 |
The application of autonomous emergency braking (AEB) is faced with challenges of misidentification and unreasonable decision. Testing under typical scenarios can effectively improve the applicability of AEB. Based on the analysis of relevant research literature, two typical scenarios (S11 and S12) involving participants turning that AEB test focuses on are extracted from 12 types of two-wheeler and vehicle pre-crash scenarios. Pre-scan model and mathematical model are established to conduct qualitative and quantitative analysis on the effectiveness and improvement direction of AEB under the typical scenarios. In scenario S11 and S12, the trajectory of the two-wheeler in the moving coordinate system is only related to the speed ratio between the vehicle and the two-wheeler. In scenario S11, only when the speed ratio of vehicle to two-wheeler is
[1] |
FILDES B, KEALL M, BOS N, et al. Effectiveness of low speed autonomous emergency braking in real-world rear-end crashes[J]. Accident Analysis and Prevention, 2015, 81: 24-29. doi: 10.1016/j.aap.2015.03.029
|
[2] |
NHTSA. Manufacturers make progress on voluntary commitment to include automatic emergency braking on all new vehicles[EB/OL]. (2017-12-21)[2021-04-10].https://www.nhtsa.gov/press-releases/nhtsa-iihs-announcement-aeb.
|
[3] |
中国汽车技术研究中心有限公司. C-NCAP管理规则(2021年版)[S]. 天津: 中国汽车技术研究中心有限公司, 2020.
China Automotive Technology & Research Center Company Limited. C-NCAP management regulation(2021)[S]. Tianjin: China Automotive Technology & Research Center Company Limited, 2020(in Chinese).
|
[4] |
Euro NCAP. Test protocol AEB VRU systems[S]. [S.l.]: Euro NCAP, 2018.
|
[5] |
Euro NCAP. Euro NCAP 2025 roadmap[S]. [S.l.]: Euro NCAP, 2018.
|
[6] |
World Health Organization. Global status report on road safety 2018[R]. Geneve: World Health Organization, 2018.
|
[7] |
中华人民共和国公安部交通管理局. 中华人民共和国道路交通事故统计年报(2017年度)[R]. 北京: 中华人民共和国公安部交通管理局, 2018.
Traffic Administration Bureau of the Ministry of Public Security of the People’s Republic of China. The People’s Republic of China road traffic accident annual statistic report (2017) [R]. Beijing: Traffic Administration Bureau of the Ministry of Public Security of the People’s Republic of China, 2018(in Chinese).
|
[8] |
LIERS H. Analysis of the accident scenario of powered two-wheelers on the basis of real-world accidents[C]//Expert Symposium on Accident Research (ESAR), 2012: 101-115.
|
[9] |
李霖, 朱西产, 刘颖, 等. 涉及骑车人的典型交通危险场景[J]. 同济大学学报(自然科学版), 2013, 42(7): 1082-1087.
LI L, ZHU X C, LIU Y, et al. Typical traffic risk scenarios relate to pedal cyclist[J]. Journal of Tongji University (Natural Science), 2013, 42(7): 1082-1087(in Chinese).
|
[10] |
徐向阳, 周兆辉, 胡文浩, 等. 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 X Y, ZHOU Z H, HU W H, 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(in Chinese).
|
[11] |
胡林, 易平, 黄晶, 等. 基于真实事故案例的自动紧急制动系统两轮车测试场景研究[J]. 汽车工程, 2018, 40(12): 1435-1446.
HU L, YI P, HUANG J, et al. A research on test scenes of two-wheeled vehicles for automatic emergency braking system based on real accident cases[J]. Automotive Engineering, 2018, 40(12): 1435-1446(in Chinese).
|
[12] |
NITSCHE P, THOMAS P, STUETZ R, et al. Pre-crash scenarios at road junctions: A clustering method for car crash data[J]. Accident Analysis and Prevention, 2017, 107: 137-151.
|
[13] |
SUI B, LUBBE N, BARGMAN J, et al. A clustering approach to developing car-to-two-wheeler test scenarios for the assessment of automated emergency braking in China using in-depth Chinese crash data[J]. Accident Analysis and Prevention, 2019, 132: 105242.
|
[14] |
CAO Y, XIAO L Y, DONG H L, et al. Typical pre-crash scenarios reconstruction for two-wheelers and passenger vehicles and its application in parameter optimization of AEB system based on NAIS database[C]//Proceedings of the 26th International Technical Conference on the Enhanced Safety of Vehicles (ESV), 2019, 19: 0272.
|
[15] |
HU W H, XU X Y, ZHOU Z H, et al. Mining and comparative analysis of typical pre-crash scenarios from IGLAD[J]. Accident Analysis and Prevention, 2020, 145: 105699.
|