A Computational Tool for the Reliable Prediction of Pavement Performance based on Temperature Data
Developed as a modular, open-source Python package with accompanying Jupyter notebook examples and hosted on GitHub, this tool provides a scalable approach to pavement condition monitoring. The research shows that temperature data collected from embedded thermocouples, when analyzed using advanced computational techniques, can serve as reliable indicators of pavement degradation, supporting more informed, data-driven infrastructure management decisions
Infrastructure Assets: Highway Assets, Pavement
Resource Types: Code or Software Tool
Capabilities: Tools & Technology
Management Processes: Monitoring & Adjustment