Dynamic routing model and solution methods for fleet management with mobile technologies

Abstract

We develop and analyze a mathematical model for dynamic fleet management that captures the characteristics of modern vehicle operations. The model takes into consideration dynamic data such as vehicle locations, travel time, and incoming customer orders. The solution method includes an effective procedure for solving the static problem and an efficient re-optimization procedure for updating the route plan as dynamic information arrives. Computational experiments show that our re-optimization procedure can generate near-optimal solutions.