Review on Evaluation and Prediction of Asphalt Pavement Performance Based on Machine Learning Methods
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.
国家科技期刊平台
NSTL
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