市政技术2024，Vol.42Issue(8)：93-101,9.DOI:10.19922/j.1009-7767.2024.08.093
沥青路面使用性能机器学习评价及预测方法综述
Review on Evaluation and Prediction of Asphalt Pavement Performance Based on Machine Learning Methods
摘要
Abstract
With the acceleration of urbanization and the growth of transportation demand,it is very important to en-sure the performance of asphalt pavement for traffic safety and economic development.However,how to accurately evaluate the performance of asphalt pavement,predict potential problems and take maintenance measures in time has always been the core problem that needs to be solved urgently in road engineering.Therefore,it is an important task to put forward accurate and efficient evaluation and prediction methods of asphalt pavement performance.In this paper the research progress of machine learning method in the field of asphalt pavement performance was compre-hensively summarized,the basic principles,advantages and disadvantages of support vector machine,random for-est,neural network and genetic algorithm were analyzed,as well as the application in practical engineering.The advantages and challenges of various methods in asphalt pavement performance evaluation and prediction were un-derstood by comparison and analysis.Finally,the future research directions and suggestions are put forward to pro-vide more effective theoretical support and methods for the management and maintenance of asphalt pavement,so as to improve the safety and reliability of road traffic.关键词
道路工程/沥青路面/使用性能评价/支持向量机/随机森林/神经网络/遗传算法Key words
road engineering/asphalt pavement/performance evaluation/support vector machine/random forest/neural networks/genetic algorithm分类
交通工程引用本文复制引用
陈祎,杜政阳,黄渝淇,邬昌健..沥青路面使用性能机器学习评价及预测方法综述[J].市政技术,2024,42(8):93-101,9.基金项目
浙江交通职业技术学院2023年第二批学校高层次人才引进专项课题 （）
