A new road friction coefficient estimation method based on SVM

Author

Li, Shoutao ; Pei, Xinglong ; Ma, Yongxue ; Tao, Lihua

Author_Institution

Coll. of Commun. Eng., Jilin Univ., Changchun, China

fYear

2012

fDate

5-8 Aug. 2012

Firstpage

1910

Lastpage

1914

Abstract

In this paper, a new road friction coefficient estimation method based on Support Vector Machines (SVM) was proposed in the process of steering driving under different road conditions. First a 2 ideal DOF vehicle model was built in Matlab/simulink to analyzing the wheel cornering characteristics. And then an algorithm based on SVM was performed to estimate difference road adhesion coefficient. Simulation results showed that the algorithm can effectively identify the friction coefficient, which had a significant meaning for controlling the stability of vehicle in process of over steering and under steering.

Keywords

control engineering computing; driver information systems; friction; mathematics computing; road vehicles; stability; steering systems; support vector machines; Matlab; SVM; Simulink; road friction coefficient estimation; steering driving; support vector machines; vehicle stability; Adhesives; Estimation; Friction; Roads; Support vector machines; Vehicles; Wheels; SVM; estimation; road friction coefficient;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation (ICMA), 2012 International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4673-1275-2

Type

conf

DOI

10.1109/ICMA.2012.6285113

Filename

6285113