Affiliation:
1. Department of Highway and Environmental Engineering, Faculty of Civil Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia
Abstract
Accurate assessment of road pavement friction is crucial for maintaining road safety. This study explores the prediction of the friction coefficient (µ) using 3D texture parameters of pavement surfaces. Measurements were conducted on 17 different rural road sections using the Traction Watcher One (TWO) for friction coefficients and a newly developed Static Road Scanner (SRS) for surface texture. Multiple linear regression models were created, incorporating texture parameters such as the valley material portion (Smr2,MIC), arithmetic mean peak curvature (Spc,MAC), and dale void volume (Vvv,PS). The results demonstrate a strong correlation between texture characteristics and friction, with R2 values up to 0.80 and an RMSE as low as 0.076, validating the model’s accuracy. This approach highlights the potential of using non-contact texture measurements for reliable prediction of friction, offering a significant advancement in pavement management and safety.
Reference31 articles.
1. An Assessment of the Skid Resistance Effect on Traffic Safety under Wet-Pavement Conditions;Accid. Anal. Prev.,2009
2. A State-of-the-Art Review of Parameters Influencing Measurement and Modeling of Skid Resistance of Asphalt Pavements;Kogbara;Constr. Build. Mater.,2016
3. Hall, J.W., Smith, K.L., Titus-Glover, L., Wambold, J.C., Yager, T.J., and Rado, Z. (2009). Guide for Pavement Friction, Transportation Research Board.
4. (2002). Characterization of Pavement Texture by Use of Surface Profiles—Part 2: Terminology and Basic Requirements Related to Pavement Texture Profile Analysis (Standard No. ISO 13473-2:2002).
5. De Martino, M., Costa, A.L.A., Timpone, F., and Sakhnevych, A. (2020). A Tire/Road Interaction Tool for the Evaluation of Tire Wear for Commercial Vehicles. Advances in Service and Industrial Robotics: Results of RAAD, Springer.