Research on Service Performance Prediction of Asphalt Pavement Based on XGboost National and Provincial Trunk Line
A prediction model of pavement condition index,PCI)of national and provincial trunk lines based on XGBoost(extreme gradient boost)algorithm was proposed.Compared with the traditional regression model,the results show that by comparing and analyzing three quantitative evaluation inde-xes(root mean square error,average absolute error and fitting coefficient)of different models and the line chart of the final prediction results,it is proved that the prediction accuracy of PCI prediction model with XGBoost algorithm considering multi-factor conditions is better than that of traditional re-gression prediction model,and the effectiveness and superiority of this model are verified.
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