ISI Journals

Pavement engineering is an essential aspect of transportation infrastructure that requires constant attention and maintenance. The use of artificial neural networks (ANNs) in pavement engineering through machine learning has become increasingly popular. This article aims to investigate the implementation of ANNs in pavement engineering through machine learning. The study utilizes a mixed-methods research approach that involves both qualitative and quantitative data analysis. The results show that ANNs can significantly enhance the accuracy of pavement engineering predictions, leading to improved maintenance strategies and cost savings.