Applications and challenges of digital twin intelligent sensing technologies for asphalt pavements

Enhancing the monitoring of asphalt pavement structural health and implementing lifecycle management practices are essential steps in establishing a secure and efficient usage environment for society. The advent of Digital Twin (DT) technology, has facilitated the realization of this objective. DT technology enables comprehensive lifecycle monitoring and management of asphalt pavements. Successful implementation of DT for asphalt pavements relies on accurately obtaining real-time information about the pavement structure entities. Consequently, this review provides a summary of information sensing methods for constructing and evolving asphalt pavement DT models. It begins by explaining the asphalt pavement five-dimensional DT framework in detail, emphasizing the importance of intelligent information sensing technologies in the DT models' construction. Then, it comprehensively outlines DT intelligent sensing technologies suitable for diverse scenarios. Subsequently, challenges associated with DT intelligent sensing technologies for asphalt pavements are discussed. Finally, recommendations for the development of DT for asphalt pavements are presented.