Dr. Tae J. Kwon, Mingjian Wu, and Zehua Shuai traveled to Washington D.C. this year for the 103rd TRB Annual Meeting. The TRB Annual Meeting was held from Jan 7 to Jan 11, 2024. During this event, 1 lectern session, and 4 poster presentations were given by the group. Xueru Ding and Simita Biswas were unable to attend the event, so Dr. Kwon presented on their behalf.
Unveiling the Black Box through Explainable AI for Winter Road Surface Conditions Prediction
Weather Event Characterization: A Catalyst for Improved Spatial Mapping and Benefit Quantification in Winter Road Maintenance
Enhancing Winter Road Maintenance with Explainable AI: SHAP Analysis for Interpreting Machine-Learning Models in Road Friction Estimation
Using Explainable AI for Enhanced Understanding of Winter Road Safety Insights with Support Vector Machines and SHAP
Strategic Planning for Equitable RWIS Implementation: A Comprehensive Study Incorporating a Multi-Variable Semivariogram Model
Check out their posters below: