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Construction Test Set and Risk Assessment of Cut-in Scenarios for Autonomous Vehicles under Highway Congestion Conditions
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Shuaikun Shi1, Dan Zhao1, Mingyue Ma2, Zelin Miao2, Xiaoji Zhou3
Automobile Technology | 2024, (4) : 7 - 14
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Automobile Technology | 2024, (4): 7-14
• Selected Papers of International Forum of Automotive Traffic •
Construction Test Set and Risk Assessment of Cut-in Scenarios for Autonomous Vehicles under Highway Congestion Conditions
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Shuaikun Shi1, Dan Zhao1, Mingyue Ma2, Zelin Miao2, Xiaoji Zhou3
Affiliations
  • 1 People’s Public Security University of China, Beijing 100038
  • 2 Research Institute for Road Safety of the Ministry of Public Security, Beijing 100062
  • 3 China Automotive Engineering Research Institute Co., Ltd., Chongqing 401122
Published: 2024-04-24 doi: 10.19620/j.cnki.1000-3703.20240024
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To assess the safety risks of autonomous vehicles during cut-in scenarios on congested Chinese highways, 64 cut-in samples were extracted from a natural driving dataset. Employing a six-level model and correlation analysis, the static and dynamic factors of the scenarios were defined. Subsequently, 1 000 test cases were randomly generated through sampling, and a safety assessment index system was established to analyze the safety of vehicle operations. Lastly, the random forest algorithm was applied to identify the key factors triggering risks. Results indicate that risk scenarios account for 5.3% of the total, with longitudinal relative velocity identified as the crucial factor. Under congested conditions, a high-risk cut-in scenario is formed when the speed of surrounding vehicles is 23% lower than that of autonomous vehicles, this indicator serves as a crucial predictive measure for identifying collision risks in congested cut-in scenarios for autonomous vehicles and may be applied in determining liability of accident in such scenarios.

Highway  /  Congested conditions  /  Autonomous vehicles  /  Cut-in scenario  /  Operational safety  /  Random forest
Shuaikun Shi, Dan Zhao, Mingyue Ma, Zelin Miao, Xiaoji Zhou. Construction Test Set and Risk Assessment of Cut-in Scenarios for Autonomous Vehicles under Highway Congestion Conditions[J]. Automobile Technology, 2024 , (4) : 7 -14 . DOI: 10.19620/j.cnki.1000-3703.20240024
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doi: 10.19620/j.cnki.1000-3703.20240024
  • Online Date：2025-12-23
  • Published：2024-04-24
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    1 People’s Public Security University of China, Beijing 100038
    2 Research Institute for Road Safety of the Ministry of Public Security, Beijing 100062
    3 China Automotive Engineering Research Institute Co., Ltd., Chongqing 401122
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红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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