Automatic driving comfort analysis and intelligent identification of uncomfortable manoeuvres based on vehicle-following scenario
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China Intelligent and Connected Vehicles, Research Institute Co., Ltd., Beijing, China
Submission date: 2021-11-03
Final revision date: 2022-03-01
Acceptance date: 2022-04-04
Online publication date: 2022-04-28
Publication date: 2022-04-30
Corresponding author
Jiacheng Feng   

Test and Validation Division, China Intelligent and Connected Vehicles (Beijing) Research Institute Co., Ltd, 100000, Beijing, China
Journal of Theoretical and Applied Mechanics 2022;60(2):303-316
Driving comfort and performance is of vital importance to evaluate the control quality of an automatic driving system. The control quality and calibration of the automatic driving system not only affects comfort but also psychological load and tension. Therefore, this paper proposed an analysis method of driving comfort combined with subjective and objec- tive factors, including multidimensional analysis based on the velocity domain, acceleration energy and power analysis, perceived risk and deviation analysis. Moreover, the feature of typical uncomfortable manoeuvres is analysed and generates an intelligent identification al- gorithm. It has been found that the uncomfortable identification performance is excellent (the accuracy reached 99%).
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