scholarly journals Statistical modelling of wintertime road surface friction

2012 ◽  
Vol 20 (3) ◽  
pp. 318-329 ◽  
Author(s):  
Ilkka Juga ◽  
Pertti Nurmi ◽  
Marjo Hippi
Keyword(s):  
Surface Friction ◽  
Statistical Modelling ◽  
Road Surface

Tire Characteristics Estimation Method Independent of Road Surface Conditions

2018 ◽  
Vol 30 (1) ◽  
pp. 138-144 ◽  
Author(s):  
Yuuki Shiozawa ◽  
◽  
Hiroshi Mouri
Keyword(s):  
Estimation Method ◽  
Surface Friction ◽  
Road Surface ◽  
Force Estimation ◽  
Tire Force ◽  
Significant Difference ◽  
Vehicle Motion ◽  
Tire Force Estimation ◽  
Tire Forces ◽  
Force Characteristics

To control vehicle behavior, it is essential to estimate tire force accurately at all times. However, it is currently difficult to detect tire performance degradation before the deterioration of vehicle dynamics in real time because tire force estimation is usually conducted by comparing the observed vehicle motion with the onboard vehicle-model motion baseline reference. Such conventional estimators do not perform well if there is a significant difference between the vehicle and the model behavior. The lack of technology to easily predict tire forces and road surface friction is concerning. In this paper, a new tire state estimation method based on tire force characteristics is proposed.

656 The influence of road surface friction coefficient on the effect of Collision Mitigation Brake : Investigation by using vehicle collision simulation

2009 ◽  
Vol 2009 (0) ◽  
pp. _656-1_-_656-6_
Author(s):  
Hirofumi MINAMOTO ◽  
Tetsushi MIMURO ◽  
Toshiya YOSHITANI ◽  
Koji SATO ◽  
Takeshi WATANABE ◽  
...  
Keyword(s):  
Friction Coefficient ◽  
Surface Friction ◽  
Road Surface ◽  
Vehicle Collision ◽  
Collision Mitigation

scholarly journals Ensemble Mode and Singular Value Based Road Texture-Skid Study

Coatings ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 947
Author(s):  
Tuo Fang ◽  
Runhua Guo ◽  
Youqiang Si
Keyword(s):  
Goodness Of Fit ◽  
Traffic Accidents ◽  
Surface Friction ◽  
Singular Value ◽  
Road Surface ◽  
Data Matrix ◽  
Mean Deviation ◽  
Intrinsic Mode Functions ◽  
Important Indicator ◽  
The Road

Traffic accidents occur frequently every year. Skid-resistance performance is an important indicator in evaluating road safety. In this paper, the road surface texture information is obtained by a line laser scanner. The original two-dimensional (2D) signal is decomposed into eight intrinsic mode functions by complementary ensemble empirical mode decomposition (CEEMD). Eight intrinsic mode functions compose an 800 × 8 data matrix. The matrix is decomposed by singular value decomposition (SVD), and singular value vectors are obtained. The singular values are summed and linearly fitted to the friction value measured by the British pendulum friction meter. The study finds that the singular value sum of one to five has a good linear correlation with the friction value with the goodness of fit greater than 0.8. At the same time, contour arithmetic mean deviation Ra is applied for verification. The results show that the singular value sum has a strong correlation with Ra. When the number of Intrinsic Mode Function (IMF) decomposition is greater than eight, there is a good correlation between the number of IMF and the friction value from IMF2 to IMF6. When the number of IMF decomposition is less than eight, the singular value sum numbers with R2 more than 0.8 gradually decrease. It is suggested that the road surface friction performance can be estimated by solving the singular value of the 2D signal. It provides new technical support for the detection and evaluation of anti-skid performance.

Measurement of road surface friction coefficient with strains on a side surface of a tire

2018 ◽  
Vol 2018 (0) ◽  
pp. OS0304
Author(s):  
Tomohiko SASANO ◽  
Yuya NANASAWA ◽  
Hiroshi TACHIYA ◽  
Masahiro HIGUCHI ◽  
Taisei ISE
Keyword(s):  
Friction Coefficient ◽  
Side Surface ◽  
Surface Friction ◽  
Road Surface
Sign in / Sign up

Export Citation Format

Share Document