Automatic driving comfort analysis and intelligent identification of uncomfortable manoeuvres based on vehicle-following scenario

• Autorzy: Feng Jiacheng

Identyfikatory

DOI

10.15632/jtam-pl/149416

• Języki publikacji: EN

Abstrakty

EN

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%).

Słowa kluczowe

EN

automatic driving; driving comfort; evaluation algorithm; wavelet filtering; neural network

• Wydawca: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
• Czasopismo: Journal of Theoretical and Applied Mechanics
• Rocznik: 2022
• Tom: Vol. 60 nr 2
• Strony: 303--316
• Opis fizyczny: Bibliogr. 18 poz., rys., tab.

Twórcy

autor

Feng Jiacheng

• China Intelligent and Connected Vehicles, Research Institute Co., Ltd., Beijing, China

Bibliografia

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