Texture Depth Measured Method of Pavement Based on Static and Dynamic Anti-Sliding Characteristics

The slippery surface of asphalt pavement is one of the leading major causes of traffic accidents. The mean texture depth (MTD) reflects the performance of skid resistance using a static texture of the pavement, while the friction coefficient reflects it through dynamic friction motion. Aimed to eliminate the difference between aforementioned two factors, a novel measurement method was proposed for effective texture depth. The point cloud data obtained by laser vision technology was studied. Firstly, B-spline was employed to interpolate the break-point of cloud data. Secondly, the concave points were removed according to the geometrical construction and anti-sliding mechanism of contact friction between the tire and road surface. Finally, the correlation between the MTD estimated by cross section method and data measured by the friction coefficient tester was analyzed. The results show that both the transverse and longitudinal MTD based on the proposed model could achieve stronger correlations with friction coefficient, compared with the traditional sand patch test. Their correlation values are 0.896 and 0.887, respectively, which are better than 0.504 of the sand patch test. The proposed method can implicitly reflect the dynamic friction coefficient through the static texture depth, and take full advantage of the high efficiency of the laser vision measurement and the objectivity of the friction coefficient, thereby achieve the desired balance of accuracy and efficiency.