Investigating Travel Demand Heterogeneity During and After the Pandemic in the Northern California Megaregion: A Data-Driven Analysis of Origin–Destination Structural Patterns
Usage-Aware Representation Learning for Critical Information Identification in Transportation Networks
Stochastic Od Demand Estimation Using Stochastic Programming
Post-Covid Transportation Scenarios: Evaluating the Impact of Policies
Statistical Learning for High-Dimensional Networked Data in Transportation Systems