| 基于NAIS的AEB系统路口测试场景研究 |
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| 引用本文： | 张诗波, 何治剑, 廖静倩, 李平飞, 肖凌云, 许倩源. 基于NAIS的AEB系统路口测试场景研究[J]. 交通信息与安全, 2021, 39(1): 87-96. doi: 10.3963/j.jssn.1674-4861.2021.01.010 |
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| 作者姓名： | 张诗波 何治剑 廖静倩 李平飞 肖凌云 许倩源 |
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| 作者单位： | 1.西华大学汽车与交通学院 成都 610039;2.四川西华交通司法鉴定中心 成都 610039;3.国家市场监督管理总局缺陷产品管理中心 北京 100101 |
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| 基金项目： | 四川省教育厅科研项目;国家自然科学基金项目 |
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| 摘 要： | 为建立适合中国道路的自动紧急制动系统路口测试场景。对国家车辆事故深度调查体系（NAIS）数据进行筛选得到582起路口车-车事故案例，运用聚类方法对事故数据进行分析，并根据事故样本数和事故伤亡程度对聚类结果进行典型参数提取，得到17类典型路口车车事故场景。在典型事故场景的基础上分析并加入2车最高碰撞车速、碰撞角度和碰撞类型3个关键参数，使最终得到的测试场景比已有的研究更能准确地反映实际的事故统计情况。
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| 关 键 词： | 交通安全 路口碰撞 自动紧急制动系统 聚类分析 测试场景 |
| 收稿时间： | 2020-12-03 |
Test Scenarios of Automatic Emergency Braking System at Intersections Based on NAIS |
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| ZHANG Shibo, HE Zhijian, LIAO Jingqian, LI Pingfei, XIAO Lingyun, XU Qianyuan. Test Scenarios of Automatic Emergency Braking System at Intersections Based on NAIS[J]. Journal of Transport Information and Safety, 2021, 39(1): 87-96. doi: 10.3963/j.jssn.1674-4861.2021.01.010 |
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| Authors: | ZHANG Shibo HE Zhijian LIAO Jingqian LI Pingfei XIAO Lingyun XU Qianyuan |
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| Affiliation: | 1. School of Automobile and Transportation, Xihua University, Chengdu 610039, China;2. Xihua Jiaotong Forensic Center, Chengdu 610039, China;3. Defective Product Administrative Center of State Administration for Market Regulation, Beijing 100101, China |
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| Abstract: | An intersection test scene of automatic emergency braking systems is established for roads in China. A total of 582 vehicle-to-vehicle accident cases are obtained from the National Automobile Accident In-Depth Investigation System(NAIS). The number of accident samples and the level of accident casualties are used to cluster the accident data and extract typical parameters of the clustered categories. Then 17 typical scenes of vehicle-to-vehicle accidents at intersections are obtained. Based on typical accident scenarios, three key parameters of maximum collision speed, collision angle, and collision type are added so that the final test scenario can reflect the actual accident statistics more accurately than existing studies. |
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| Keywords: | transport safety intersection collision automatic emergency braking system clustering analysis test scenarios |
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