Asphalt Pavement Performance Prediction Based on K-Nearest Neighbor Algorithm

Today's social development is inseparable from road engineering, paving roads and building roads makes economic development an important link, which can make economic exchanges more convenient and convenient transportation. Among them, asphalt pavement is often used, and the performance of asphalt pavement structure greatly affects whether the road project can be successfully completed. Therefore, the role of asphalt pavement performance prediction in road engineering is very important. Ordinary performance prediction methods can no longer solve the problem of asphalt pavement performance in road engineering. Therefore, a K-nearest neighbor algorithm is proposed to analyze the performance of asphalt pavement. Firstly, data mining is used to predict and in the performance of asphalt pavement. Then, the data mining predicts the asphalt pavement performance of road engineering, forms the asphalt pavement performance scheme, and comprehensively analyzes the asphalt pavement performance results. the reliability of asphalt pavement performance prediction of K-nearest algorithm for road engineering are better than that of ordinary prediction performance methods.