@article{LI2021, 
author = {Wen-liang LI and Qi ZHAN and Wei ZHOU and Yi SONG and Jin-ling ZHANG},
title = {Evaluation Model of Intelligent Vehicle Test Conditions Based on Risk Degree and Complexity Degree},
year = {2021},
journal = {Journal of Highway and Transportation Research and Development (English Edition)},
volume = {15},
number = {2},
pages = {95-101},
keywords = {automotive engineering, risk degree, complexity degree, intelligent vehicle, effectiveness index},
url = {https://www.sciopen.com/article/10.1061/JHTRCQ.0000780},
doi = {10.1061/JHTRCQ.0000780},
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.}
}