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Research on Highway Testing Scenarios for Commercial Vehicle AEB Considering Load Conditions
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Jie Qiao1, Zhigang Kang1, Yubo Zhao1, Peng Wang2
Automobile Technology | 2026, (7) : 45 - 54
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Automobile Technology | 2026, (7): 45-54
• Special Topic on Object Detection and Road Lane Recognition Technologies for Autonomous Driving •
Research on Highway Testing Scenarios for Commercial Vehicle AEB Considering Load Conditions
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Jie Qiao1, Zhigang Kang1, Yubo Zhao1, Peng Wang2
Affiliations
  • 1.Chang an University, Xi'an 710064
  • 2.China Automotive Technology & Research Center Co., Ltd., Tianjin 300300
Published: 2026-07-24 doi: 10.19620/j.cnki.1000-3703.20250836
Outline
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To accurately evaluate the decision precision of Automatic Emergency Braking (AEB) system intervention timing under varying load conditions in highway scenarios, this study screens 255 commercial vehicle rear-end collision cases from the China In-Depth Accident Study (CIDAS) database and extracts typical scenarios using hierarchical clustering. The clustering variables encompass traffic environment (weather, road type, lighting, and adhesion conditions), subject vehicle type, pre-crash status, and collision characteristics (load state, motion state, impact location, and initial speed discretized into 4 intervals: low, medium, high, and extremely high), as well as target vehicle type and motion state. 4 highly representative test scenarios are obtained, in which the load state is innovatively incorporated as a key clustering variable into the accident data structure analysis. Combined with vehicle dynamics principles, the influence of load on braking distance and AEB response threshold is discussed, enabling the extracted scenarios to simultaneously reflect statistical patterns in accident data and practical braking characteristics of commercial vehicles, thereby addressing the deficiency of existing studies in considering load factors. The constructed scenarios satisfy the requirements of UN R131 regulation and are further extended to beyond-regulation speeds and offset-overlap conditions, significantly enhancing adaptability to the complex traffic environment on Chinese highways. This paper provides a scientific basis for commercial vehicle AEB development, performance optimization, and standard formulation and revision.

Commercial-vehicle  /  Automatic Emergency Braking (AEB)  /  Highway rear-end scenarios  /  Accident-data-driven  /  CIDAS data
乔洁, 康志刚, 赵昱博, 王鹏. 考虑负载状态的商用车AEB公路测试场景研究. 汽车技术, 2026 , (7) : 45 -54 . DOI: 10.19620/j.cnki.1000-3703.20250836
Jie Qiao, Zhigang Kang, Yubo Zhao, Peng Wang. Research on Highway Testing Scenarios for Commercial Vehicle AEB Considering Load Conditions[J]. Automobile Technology, 2026 , (7) : 45 -54 . DOI: 10.19620/j.cnki.1000-3703.20250836
Year 2026 volume Issue 7
168
39
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doi: 10.19620/j.cnki.1000-3703.20250836
  • Online Date:2026-09-23
  • Published:2026-07-24
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  • Revised:2026-05-13
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    1.Chang an University, Xi'an 710064
    2.China Automotive Technology & Research Center Co., Ltd., Tianjin 300300
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光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
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