A digital twin framework for real-time probabilistic forecasting of permeable pavement performance
Published in Journal of Hydrology
This paper combines a physical model of permeable pavement with real-time sensor data to produce probabilistic forecasts. The framework improved forecast accuracy while representing uncertainty in rainfall, observations, and model states.
- digital twins
- permeable pavements
- probabilistic forecasting
Recommended citation
Brasil, J., Gomes Jr., M. N., Johnson, D. W., Papagiannakis, A. T., Mendiondo, E. M., and Giacomoni, M. H. (2026). A digital twin framework for real-time probabilistic forecasting of permeable pavement performance. Journal of Hydrology, 136380. https://doi.org/10.1016/j.jhydrol.2026.136380
