In several transportation systems, vehicles can choose where to meet customers rather than stopping in fixed locations. This added flexibility, however, requires coordination between vehicles and customers that adds complexity to routing operations. This paper develops scalable algorithms to...

This paper addresses data-driven decision-making problems under categorical uncertainty. Consider a two-stage optimization problem with first-stage planning and second-stage routing decisions, under uncertainty regarding which customers to visit. Classification models can estimate the...