A Semantic Digital Twinning Approach for the Management of Road Distress Data

5 citations as recorded by crossref.

1. Digital Twins for Visual Inspection of Large Structures: A Systematic Review G. Das et al. https://doi.org/10.1109/ACCESS.2026.3710668
2. Hybrid and Multifunctional Asphalt Pavements: An Evidence-Based Review of Computational Intelligence, Digital Twins, and Circular Deployment A. Alnadish & A. Waheed https://doi.org/10.1007/s11831-026-10697-2
3. A comprehensive review of digital twin driven pavement health monitoring and maintenance optimization using graph neural networks M. Topu et al. https://doi.org/10.1007/s41062-026-03053-7
4. Cognitive Digital Twins for Pavement Management: A Comprehensive Review A. Daneshvar et al. https://doi.org/10.1007/s11831-026-10503-z
5. Advances of deep learning application in qualitative and quantitative detection of road subsurface distress using ground penetrating radar: A review L. Cui et al. https://doi.org/10.1016/j.measurement.2025.116760