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Research on Driving Hazard Identification and Braking Strategy Based on Collision Evasion Point
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Tong Zhu1, Zhuo Zhang1, Yunxing Zhang1, Yunfei Zhao1, Xiaohu Li2
Automobile Technology | 2025, (7) : 23 - 30
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Automobile Technology | 2025, (7): 23-30
Special Topic on Obstacle Avoidance Strategies for Intelligent Driving Vehicles
Research on Driving Hazard Identification and Braking Strategy Based on Collision Evasion Point
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Tong Zhu1, Zhuo Zhang1, Yunxing Zhang1, Yunfei Zhao1, Xiaohu Li2
Affiliations
  • 1 School of Transportation Engineering, Chang'an University, Xi'an 710064
  • 2 China Automotive Technology and Research Center, Tianjin 300300
Published: 2025-07-24 doi: 10.19620/j.cnki.1000-3703.20240896
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To quantify driving risk and develop a safe braking strategy, this paper introduces the concept of Collision Evasion Point (CEP) and builds mathematical models for straight-driving and turning scenarios. Using the CEP, a risk-representation index is defined to quantify driving risk. Moreover, 116 accident cases from China In-Depth Accident Study (CIDAS) database are classified, and the risk representation index is applied to identify high-risk cases. Finally, a dynamic braking strategy based on the braking-time indicator is proposed. Test results show that, across various high-risk scenarios, the proposed risk representation index outperforms Time-to-Collision (TTC) based strategy in identifying scene-level risk, while the braking strategy achieves more reasonable braking times and smoother speed profiles, thereby better avoiding collisions.

Vehicle safety  /  Real-time risk  /  High-risk scenario identification  /  Braking strategy  /  Critical risk-avoidance model
Tong Zhu, Zhuo Zhang, Yunxing Zhang, Yunfei Zhao, Xiaohu Li. Research on Driving Hazard Identification and Braking Strategy Based on Collision Evasion Point[J]. Automobile Technology, 2025 , (7) : 23 -30 . DOI: 10.19620/j.cnki.1000-3703.20240896
Year 2025 volume Issue 7
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Article Info
doi: 10.19620/j.cnki.1000-3703.20240896
  • Online Date:2025-10-28
  • Published:2025-07-24
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  • Revised:2025-02-10
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    1 School of Transportation Engineering, Chang'an University, Xi'an 710064
    2 China Automotive Technology and Research Center, Tianjin 300300
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红菇属 Russula 17 8.13
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