Abstract
The convoy movement problem (CMP) involves the routing and scheduling of a large number of vehicles and personnel across a network. A convoy is a group of (typically, army) vehicles and personnel that travel together as a group. Given the nature and context of these movements, it is necessary to avoid convoys crossing each other at a node, overtaking, or crossing each other on a road as they travel in the network from their individual origins to their destinations. The lengths and travel speeds are also major factors that determine the optimal travel paths and schedules for these convoys. In this paper, we review different variants of the CMP in the literature. We then propose a generalised problem statement for the CMP that accommodates all common variants. This generalised problem definition addresses several important side constraints that typically occur in real-world problems. We adapt and enhance existing formulations of the CMP in such a way that the generalised version can also be modelled. Further, we propose new approaches for solving large instances of the generalised CMP. Our computational experiments show that the techniques introduced in this paper substantially outperform existing approaches in the literature. We also generate a new dataset for the generalised CMP that provides a framework for the examination of various approaches for the CMP with a wider set of side constraints.
Original language | English |
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Article number | 101802 |
Number of pages | 18 |
Journal | TRANSPORTATION RESEARCH PART E: LOGISTICS AND TRANSPORTATION REVIEW |
Volume | 133 |
Early online date | 21 Nov 2019 |
DOIs | |
Publication status | Published - 20 Jan 2020 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Convoy movement problem
- Shortest path problem
- Time-space network