Paper
28 April 2023 Study on estimation method of friction coefficient of slippery road
Ruofei Du, Jian Wang, Jun Yang, Mingzhe Fei, Huan Deng, Yunjing Wang
Author Affiliations +
Proceedings Volume 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022); 1262627 (2023) https://doi.org/10.1117/12.2674407
Event: International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 2022, Zhuhai, China
Abstract
The accurate estimation of the road adhesion coefficient can provide a judgment basis for the accurate decision of the vehicle active safety system. It can accurately reflect the interaction between tires and road surface. The decrease of the adhesion coefficient on wet road surface increases the probability of traffic accidents. The vehicle dynamics model and tire model are established in simulink, and the vehicle operating environment is established in CarSim. The proposed algorithm is verified by co-simulation.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruofei Du, Jian Wang, Jun Yang, Mingzhe Fei, Huan Deng, and Yunjing Wang "Study on estimation method of friction coefficient of slippery road", Proc. SPIE 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 1262627 (28 April 2023); https://doi.org/10.1117/12.2674407
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KEYWORDS
Roads

Adhesion

Safety

Covariance matrices

Signal filtering

Lithium

Reflection

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