Evaluation Model of Intelligent Vehicle Test Condition Based on Risk Degree and Complexity Degree
李文亮1, 战琦1, 周炜1, 宋毅2, 张金玲2
1. Key Laboratory of operation safety technology on transport vehicles, Ministry of Transport, PRC, Beijing 100088, China;
2. Beijing University of Posts and Telecommunications, Beijing 100876, China
Evaluation Model of Intelligent Vehicle Test Condition Based on Risk Degree and Complexity Degree
LI Wen-liang1, ZHAN Qi1, ZHOU Wei1, SONG Yi2, ZHANG Jin-ling2
1. Key Laboratory of operation safety technology on transport vehicles, Ministry of Transport, PRC, Beijing 100088, China;
2. Beijing University of Posts and Telecommunications, Beijing 100876, China
摘要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.
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.
基金资助:Supported by the National Key Research and Development Program (No. 2017YFC0804808)
通讯作者:
LI Wen-liang
E-mail: wl.li@rioh.cn
引用本文:
李文亮, 战琦, 周炜, 宋毅, 张金玲. Evaluation Model of Intelligent Vehicle Test Condition Based on Risk Degree and Complexity Degree[J]. Journal of Highway and Transportation Research and Development, 2021, 15(2): 95-101.
LI Wen-liang, ZHAN Qi, ZHOU Wei, SONG Yi, ZHANG Jin-ling. Evaluation Model of Intelligent Vehicle Test Condition Based on Risk Degree and Complexity Degree. Journal of Highway and Transportation Research and Development, 2021, 15(2): 95-101.
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2021, Vol. 15 
