Data-driven Stochastic Vehicle Routing Problems with Deadline Assignment

In this paper, we study a data-driven stochastic vehicle routing problem (VRP) with deadlines and endogenous uncertainty, where the travel time depends on the routing decisions, which is motivated by a real-world food delivery problem. We use the non-parametric approaches, including k-nearest neighbor (kNN) and kernel density estimation, to estimate the decision-dependent probability distribution of … Read more