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Research on Safety Testing and Evaluation Methods for Autonomous Vehicles in Ramp Merging Traffic Scenarios
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Wenli LI, Zhongfeng LI, Chao LI, Fan YI
Chinese Journal of Automotive Engineering | 2024, 14(3) : 354 - 362
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Chinese Journal of Automotive Engineering | 2024, 14(3): 354-362
• Intelligent Safety/Security Technologies and Test/Evaluation •
Research on Safety Testing and Evaluation Methods for Autonomous Vehicles in Ramp Merging Traffic Scenarios
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Wenli LI, Zhongfeng LI, Chao LI, Fan YI
Affiliations
  • Key Laboratory of Advanced Manufacturing Technology for Automobile Parts, Ministry of Education Chongqing University of Technology Chongqing 400054 China
doi: 10.3969/j.issn.2095–1469.2024.03.03
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In order to promote the development of autonomous vehicle applications, conducting accurate and reliable safety testing and evaluation is essential. This paper proposes a safety evaluation method for autonomous vehicles tailored to highspeed ramp traffic scenarios using natural driving data. By analyzing the conflict characteristics in the confluence area, the models for calculating traffic conflict indicators such as TTC, PET and MSS are established to determine the safety evaluation indicators. The fuzzy clustering of natural driving indicator data is used to obtain the threshold ranges for these indicators. The autonomous vehicle simulation test has been built. The importance criterion weight distribution method based on interlayer correlation and the gray correlation scoring model are applied. The comprehensive evaluation scores regarding the safety of autonomous vehicles are calculated under different control algorithms. The results show a distinct correlation in the distribution of safety indices between the test vehicle's driving behavior and ideal driving behavior. By calculating the overall correlation degree, the scores can directly reflect the comprehensive safety performance of different autonomous driving systems.

autonomous vehicle  /  safety evaluation  /  fuzzy cluster analysis  /  grey correlation degree
Wenli LI, Zhongfeng LI, Chao LI, Fan YI. Research on Safety Testing and Evaluation Methods for Autonomous Vehicles in Ramp Merging Traffic Scenarios[J]. Chinese Journal of Automotive Engineering, 2024 , 14 (3) : 354 -362 . DOI: 10.3969/j.issn.2095–1469.2024.03.03
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Article Info
doi: 10.3969/j.issn.2095–1469.2024.03.03
  • Receive Date：2022-11-03
  • Online Date：2025-07-21
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  • Received：2022-11-03
  • Revised：2023-01-09
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    Key Laboratory of Advanced Manufacturing Technology for Automobile Parts, Ministry of Education Chongqing University of Technology Chongqing 400054 China
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https://castjournals.cast.org.cn/joweb/qcgcxb/EN/10.3969/j.issn.2095–1469.2024.03.03
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