Multiple-Depot Integrated Vehicle and Crew Scheduling
Published Online:1 Nov 2005https://doi.org/10.1287/trsc.1040.0104
Abstract
This paper presents two different models and algorithms for integrated vehicle and crew scheduling in the multiple-depot case. The algorithms are both based on a combination of column generation and Lagrangian relaxation.
Furthermore, we compare those integrated approaches with each other and with the traditional sequential one on randomly generated, as well as real-world, data instances for a suburban/extraurban mass transit system. To simulate such a transit system, we propose a new way of randomly generating data instances such that their properties are the same as for our real-world instances.
