Pavement Performance Evaluation of Asphalt Expressway Based on Machine Learning Support Vector Machine

Abstract

Pavement quality evaluation is important for pavement maintenance and is the basis for maintenance and investment decisions. With the use of asphalt pavements on highways, road maintenance problems are becoming increasingly serious. This paper introduces the prediction and evaluation of asphalt pavement and analyzes the quality evaluation methods of asphalt pavement in terms of damage degree, pavement smoothness, pavement gauge, and pavement strength. Based on this, a pavement quality evaluation based on machine learning, SVM, and other techniques is established, and a comprehensive evaluation model based on SVM, a set of asphalt pavement performance teaching materials, and a training label determination method are proposed to highlight the importance of highway asphalt pavement quality prediction and evaluation and provide reference for China’s highway construction.