Home Journals Articles Updates About
CN
image
收藏切换
Research on Driving Hazard Identification and Braking Strategy Based on Collision Evasion Point
收藏切换
PDF
Tong Zhu1, Zhuo Zhang1, Yunxing Zhang1, Yunfei Zhao1, Xiaohu Li2
Automobile Technology | 2025, (7) : 23 - 30
Less
收藏切换
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
Full
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
Outline
收藏切换

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
Appendix
Less
Year 2025 volume Issue 7
PDF
294
100
Cite this Article
BibTeX
Article Info
doi: 10.19620/j.cnki.1000-3703.20240896
  • Online Date：2025-10-28
  • Published：2025-07-24
Article Data
Affiliations
History
  • Revised：2025-02-10
Funding
Affiliations
    1 School of Transportation Engineering, Chang'an University, Xi'an 710064
    2 China Automotive Technology and Research Center, Tianjin 300300
References
Share
https://castjournals.cast.org.cn/joweb/qcjs/EN/10.19620/j.cnki.1000-3703.20240896
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
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
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House