Social Network-Based Pavement Design Using Machine Learning Techniques
World Journal of Technology and Scientific Research,
2023
Autour(s)
- Chang Li, Bing Pan, Zheng Xiang, Lixuan Zhang, Lee Chen, Don Chen
Abstract
Pavement design is a crucial factor in the construction of roads and highways. However, traditional pavement design methods often do not take into account the needs and preferences of the local community. In this article, we propose a social network-based pavement design approach that utilizes machine learning techniques. Our approach uses social network data to identify the needs and preferences of the local community and incorporates this information into the pavement design process. The result is a pavement design that is tailored to the needs and preferences of the local community.