Method for constructing pavement anti-skid performance prediction model based on XGBOOST and model constructed by method

The invention relates to a method for constructing a pavement anti-skid performance prediction model based on XGBOOST and the model constructed by the method. The model construction method comprises the following steps: (1) acquiring texture information and a friction value of a test piece; (2) processing texture information; (3) acquiring input parameters of the XGBOOST model; (4) parameter selection; and (5) constructing and training a pavement anti-skid performance prediction model based on XGBOOST. According to the method, a series of data are processed in the early stage, the texture is separated into macro and micro textures under different temperature and humidity conditions by considering the aspect of texture refinement and calculating fractal dimensions under different conditions, and the fractal dimensions are calculated to obtain the fractal fractal data. And finally, selecting a proper parameter combination through methods such as cross validation to obtain better model performance. An early stop