Xiaoxu Chen

Inductive Transportation Origin-Destination Demand Forecasting via Bayesian Destination-Choice Modeling

A Bayesian spatiotemporal hierarchical model designed specifically for inductive forecasting that is able to accurately estimate O-D flows and provide robust inductive forecasts with full uncertainty quantification, which is essential for robust decision making in downstream applications, such as stochastic network optimization and facility location problems.