Technologies that Support Pavement Management Decisions Through the Use of Artificial Intelligence

Abstract

There has been a meteoric rise in the number of AI-based applications in road pavement engineering since the late 1980s. Key points in the decision-making process for pavement management include the use of such apps. They predict pavement degradation and do pavement diagnostics in the analysis phase. Contributing to the identification and selection of maintenance activities, they allow for the assessment of rehabilitation needs during the design phase. Lastly, they are utilized for rehabilitation and maintenance priority programming during the choice phase. They either stand in for new ways of doing things or work together to improve the system as a whole. This article aims to draw attention to the potential of artificial intelligence (AI) tools for pavement engineers by summarizing the results of recent research publications on the topic of AI in pavement management. Expert systems, hybrid systems, genetic algorithms, fuzzy logic, and artificial neural networks are all forms of artificial intelligence.