基于复合分形的路面抗滑随机森林评估模型.

The pavement anti-skid performance directly affects road traffic safety, and the evaluation methods based on pavement texture features currently have problems of poor interpretability and low accuracy. Herein, 185 sets of pavement texture data were collected by the portable 3D laser surface analyzer with an accuracy of 0.05 mm. The pavement friction data in the speed range of 0~80 km/h of the corresponding road section were obtained with the dynamic friction coefficient tester. The comprehensive fractal dimension index representing the complexity of the pavement texture space, the cross section, and the depth direction was constructed, and the random forest evaluation model for pavement skid resistance performances at speeds of 10 km/h and 70 km/h. The results show that, the comprehensive fractal dimension has the ability to describe the complexity of texture independently, but there is no linear relationship between it and the pavement dynamic friction coefficient; the prediction accuracy of comprehensive fractal dimensions for dynamic friction coefficients at the 70 km/h speed is 0.78, which can be used to evaluate the skid resistance of pavement under the condition of rapid sliding of tire rubber; the spatial, cross-sectional, surface, shallow, and deep profile fractal features in comprehensive fractal indicators jointly affect the pavement anti-skid performances. In the evaluation of pavement texture morphology, comprehensive analysis of texture features should be conducted from multiple spatial perspectives. [ABSTRACT FROM AUTHOR]