Paper Published: Maintenance Record-Enriched ML Model for Pavement IRI Prediction

Excited to announce the publication of our peer-reviewed paper “Maintenance Record-Enriched Machine Learning Model for Pavement International Roughness Index Prediction” in the International Journal of Pavement Engineering!

This research integrates maintenance textual data with numerical predictors for pavement performance forecasting, using a customized neural network to encode maintenance information and merge it with traditional field measurements.

Key Contributions

• Enables single-model application across a pavement’s entire service life
• Handles multiple concurrent maintenance activities with improved accuracy
• Bridges the gap between textual maintenance records and numerical performance prediction

Research Visualizations

---

This work was made possible through collaboration with Halil Ceylan, Berk Gulmezoglu, Sunghwan Kim, Yunjeong “Leah” Mo, and Abdullah Sourav, Ph.D.

Tags: #AI #CivilEngineering #MachineLearning #PavementIRI #Research