Advances in smart technologies and materials for automated asphalt pavement inspection: Toward transport infrastructure digitalisation

This is the authors' abstract. We don't add key points for this paper.

The digitalisation of transport infrastructure helps extend pavement service life by enabling timely maintenance based on real-time data from automated inspection. This paper aims to review recent advancements in smart technologies and materials for the structural health monitoring (SHM) of asphalt pavements. Smart monitoring technologies are discussed by analysing their capability in the real-time automated inspection of early-stage pavement internal distress. Furthermore, smart pavement materials, particularly self-sensing asphalt materials, are reviewed in terms of their functionalities, fabrication and electrical characterisation. Finally, applications and challenges of self-sensing asphalt pavements are evaluated, including their implementation, engineering performance, and life cycle assessment. It is concluded that self-sensing asphalt materials provide an effective solution for real-time automated inspection of the early-stage internal distress in pavements. Artificial intelligence (AI) can facilitate the practical implementation of self-sensing asphalt pavement systems integrated with smart materials, management information systems, and intelligent control systems.