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Evaluation Model of Intelligent Vehicle Test Conditions Based on Risk Degree and Complexity Degree

Wen-liang LI1( ), Qi ZHAN1, Wei ZHOU1, Yi SONG2, Jin-ling ZHANG2
Key Laboratory of operation safety technology on transport vehicles, Ministry of Transport, PRC, Beijing 100088, China
Beijing University of Posts and Telecommunications, Beijing 100876, China
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Abstract

In order to study the quantitative evaluation of the effectiveness of intelligent vehicle under test conditions, the risk model based on driving risk field was improved, and the complexity degree of each elements of driving environment was defined. Considering risk degree and complexity degree coverage, maximum and distribution of user and test conditions, an evaluation model of user and test conditions based on risk degree and complexity degree was constructed. The validity of three tests was analyzed and evaluated by examples. The results showed that the effectiveness index could be used to evaluate the effectiveness of the test conditions quantitatively.

Keywords

automotive engineeringrisk degreecomplexity degreeintelligent vehicleeffectiveness index

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Journal of Highway and Transportation Research and Development (English Edition)
Volume 15 Issue 2,
June 2021
Pages 95-101
DOI: 10.1061/JHTRCQ.0000780

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Cite this article:
LI W-l, ZHAN Q, ZHOU W, et al. Evaluation Model of Intelligent Vehicle Test Conditions Based on Risk Degree and Complexity Degree. Journal of Highway and Transportation Research and Development (English Edition), 2021, 15(2): 95-101. https://doi.org/10.1061/JHTRCQ.0000780

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Received: 30 January 2021
Published: 01 June 2021
© The Editorial Office of Journal of Highway and Transportation Research and Development (English Edition)