A set partitioning approach to shunting

Abstract

The Vehicle Positioning Problem (VPP), also known as the shunting problem, is a classical combinatorial optimization problem in public transport planning. It has been investigated using several models and approaches, which work well for small instances, but not for large ones. We propose in this article a novel set partitioning model and an associated column generation approach for the VPP and for a multi-period generalization. The main improvement of this model over previous ones is that it provides a tight linear description of the problem that can, in particular, produce non-trivial lower bounds. The pricing problem, and hence the LP relaxation itself, can be solved in polynomial, respectively, pseudo-polynomial time for some versions of the problem. Computational results for large-scale instances are reported.