Abstract

International audience; Recent statistics show that a large number of traffic accidents occur due to a loss of control on vehicle by the driver. This is mainly due to a loss of friction between tire and road. Many of these accidents could be avoided by introducing ADAS (Advanced Driver Assistance Systems) based on the detection of loss of tire/road friction. Friction (more specifically the maximum coefficient of friction) which is a parameter of tire/road interaction, mainly depends on the state of the road (dry, wet, snow, ice) and is closely related to the efforts at the tire level. In this paper, we propose, a new method for the estimation of the maximum tire/road friction coefficient, to automatically detect possible state of loss of friction which result in an abrupt change on the road state. This method is based on an iterative quadratic minimization of the error between the developed lateral force and the model of tire/road interaction. Results validate the application of the method.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1109/med.2010.5547840
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005547840,
https://hal.archives-ouvertes.fr/hal-00554426,
http://ieeexplore.ieee.org/document/5547840,
https://academic.microsoft.com/#/detail/2109693527
Back to Top

Document information

Published on 01/01/2010

Volume 2010, 2010
DOI: 10.1109/med.2010.5547840
Licence: CC BY-NC-SA license

Document Score

0

Views 1
Recommendations 0

Share this document

claim authorship

Are you one of the authors of this document?