河南城建学院学报2024，Vol.33Issue(4)：39-46,8.DOI:10.14140/j.cnki.hncjxb.2024.04.006
基于XGBoost算法的沥青路面横向裂缝预测模型
Prediction model of transverse cracks of asphalt pavement based on XGBoost algorithm
摘要
Abstract
Transverse cracks are the main form of distress in asphalt pavement,and the accuracy of their pre-diction directly affects the reliability of pavement structure design.In order to accurately predict the damage of transverse cracks in asphalt pavement during use,a transverse crack prediction model based on the XGBoost algorithm is proposed.The model's performance can be enhanced by optimizing its hyperparameters with the TPE-BO method.Compared with RF and CatBoost models,the proposed model has higher prediction accuracy.In addition,the study evaluates the importance of features through correlation analysis and the SHAP method.The results show that the model achieves the best performance when the number of input variables is reduced by 4,reducing the cost and difficulty of data collection,which is of great significance for improving the econom-ic benefits of highway maintenance.关键词
XGBoost/横向裂缝预测/TPE-BO/SHAPKey words
XGBoost/transverse crack prediction/TPE-BO method/SHAP method分类
交通工程引用本文复制引用
丁壮,王长柏,肖伟..基于XGBoost算法的沥青路面横向裂缝预测模型[J].河南城建学院学报,2024,33(4):39-46,8.基金项目
安徽理工大学研究生创新基金项目(2022CX2042) （2022CX2042）
