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Concept and Capability Approval Method of Behavioral Safety for Automated Driving Systems
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Long CHEN1, Lutao GAO1, Xiaoqing XU2, Jianyong CAO3, Chuzhao LI4
Chinese Journal of Automotive Engineering | 2024, 14(5) : 781 - 790
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Chinese Journal of Automotive Engineering | 2024, 14(5): 781-790
SOTIF/Co-Editors-in-Chief: CHEN Junyi, ZHANG Yuxin, ZHAO Yang
Concept and Capability Approval Method of Behavioral Safety for Automated Driving Systems
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Long CHEN1, Lutao GAO1, Xiaoqing XU2, Jianyong CAO3, Chuzhao LI4
Affiliations
  • 1 Beijing Huawei Digital Technologies Co., Ltd. Beijing 100085 China
  • 2 Beijing Dishi Data Technology Co., Ltd. Beijing 100176 China
  • 3 Shanghai Motor Vehicle Inspection Certification & Technology Innovation Center Co., Ltd. Shanghai 201805 China
  • 4 Tsinghua University Beijing 100084 China
doi: 10.3969/j.issn.2095–1469.2024.05.04
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Aiming at acceptance criteria for automated driving, this paper reviews the best practices in relevant regulations, standards, and evaluation methods, identifying five safety concepts and their interrelationships. The paper focuses on the concept and research status of behavioral safety, centered around "reasonably foreseeable and preventable” behaviors. By combining scenario data statistics with the driver's emergency response mechanism, a quantitative research framework is proposed for reasonably foreseeable and preventable situations. Finally, combining traffic accident data and practical experience, the paper provides a method for using behavioral safety in autonomous driving evaluation, along with a closedloop certification and approval process based on this concept. The research in this paper serves as a reference for authorities, third parties, and R&D companies to establish relevant R&D, testing, and processes centered around behavioral safety.

reasonably foreseeable  /  careful and competent driver model  /  type approval of automated driving system  /  behavior safety
Long CHEN, Lutao GAO, Xiaoqing XU, Jianyong CAO, Chuzhao LI. Concept and Capability Approval Method of Behavioral Safety for Automated Driving Systems[J]. Chinese Journal of Automotive Engineering, 2024 , 14 (5) : 781 -790 . DOI: 10.3969/j.issn.2095–1469.2024.05.04
Year 2024 volume 14 Issue 5
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Article Info
doi: 10.3969/j.issn.2095–1469.2024.05.04
  • Receive Date:2023-04-28
  • Online Date:2025-07-20
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  • Received:2023-04-28
  • Revised:2023-07-24
Affiliations
    1 Beijing Huawei Digital Technologies Co., Ltd. Beijing 100085 China
    2 Beijing Dishi Data Technology Co., Ltd. Beijing 100176 China
    3 Shanghai Motor Vehicle Inspection Certification & Technology Innovation Center Co., Ltd. Shanghai 201805 China
    4 Tsinghua University Beijing 100084 China
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表12种不同金属材料的力学参数

Family
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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