Intelligent Vehicle Test and User Condition Correlation Evaluation Model
李文亮1, 宋毅2, 张禄1, 周炜1, 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
Intelligent Vehicle Test and User Condition Correlation Evaluation Model
LI Wen-liang1, SONG Yi2, ZHANG Lu1, ZHOU Wei1, 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To research the quantitative evaluation of the effectiveness of intelligent vehicles from user operating conditions to test operating conditions in proving ground, a matching model and evaluation model of intelligent vehicle test condition and user condition was presented on the basis of theory of human-vehicle-road cooperative driving risk field by comprehensively considering the acceleration coefficient, risk coverage, maximum risk, and risk distribution of user conditions and test site conditions. With the vehicle following scene taken as an example and with the JT/T 1242-2019, GB/T 33577-2017, and ISO 22839 standards used as reference, the validity of the actual operating condition data of users and the operating condition data of the test site was analyzed and evaluated by using the correlation evaluation model. Results showed that the research results can be used to quantitatively evaluate the effectiveness of different intelligent vehicle test conditions.
Abstract：To research the quantitative evaluation of the effectiveness of intelligent vehicles from user operating conditions to test operating conditions in proving ground, a matching model and evaluation model of intelligent vehicle test condition and user condition was presented on the basis of theory of human-vehicle-road cooperative driving risk field by comprehensively considering the acceleration coefficient, risk coverage, maximum risk, and risk distribution of user conditions and test site conditions. With the vehicle following scene taken as an example and with the JT/T 1242-2019, GB/T 33577-2017, and ISO 22839 standards used as reference, the validity of the actual operating condition data of users and the operating condition data of the test site was analyzed and evaluated by using the correlation evaluation model. Results showed that the research results can be used to quantitatively evaluate the effectiveness of different intelligent vehicle test conditions.
基金资助:Supported by the National Key R&D Program of China(No, 2017YFC0804808)
通讯作者:
LI Wen-liang
E-mail: wl.li@rioh.cn
引用本文:
李文亮, 宋毅, 张禄, 周炜, 张金玲. Intelligent Vehicle Test and User Condition Correlation Evaluation Model[J]. Journal of Highway and Transportation Research and Development, 2020, 14(3): 104-110.
LI Wen-liang, SONG Yi, ZHANG Lu, ZHOU Wei, ZHANG Jin-ling. Intelligent Vehicle Test and User Condition Correlation Evaluation Model. Journal of Highway and Transportation Research and Development, 2020, 14(3): 104-110.
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2020, Vol. 14 
