Dynamic comfort analysis on  longitudinal intelligent driving system

Jiacheng Feng; Weiguo Liu; Jun Yang; Yong Cheng; Haiting Zhan; Weiling Zheng

doi:10.1117/12.2645871

30 August 2022 Dynamic comfort analysis on longitudinal intelligent driving system

Jiacheng Feng, Weiguo Liu, Jun Yang, Yong Cheng, Haiting Zhan, Weiling Zheng

Proceedings Volume 12309, International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2022); 123092F (2022) https://doi.org/10.1117/12.2645871
Event: International Conference on Advanced Manufacturing Technology and Manufacturing System (ICAMTMS 2022), 2022, Shijiazhuang, China

Abstract

Currently the carrying rate of advanced driver-assistance system (henceforth called ADSA) in vehicles reached 30% and the utilization rate is increasing. For production vehicle, comfort and psychological acceptance of automatic driving system are important for user experience and the prevention of motion sickness. This paper presents a methodology and evaluation algorithm for control quality analysis of ADSA. Through the analysis of longitudinal acceleration and jerk in time domain and non-time domain, multi-dimensional results based on test scenario are obtained. Form the result, we can quantitatively analyse the bad working condition and calibration tendency of the system. The purpose of the paper is to (1) presents an evaluation method of intelligent driving comfort, (2) provide a data processing and evaluation algorithm for road test and simulation test, (3) carry out a real vehicle test to verify the algorithm and analysis the difference of productions by benchmarking test.

Citation Download Citation

Jiacheng Feng, Weiguo Liu, Jun Yang, Yong Cheng, Haiting Zhan, and Weiling Zheng "Dynamic comfort analysis on longitudinal intelligent driving system", Proc. SPIE 12309, International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2022), 123092F (30 August 2022); https://doi.org/10.1117/12.2645871

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