A Branch-and-Cut Algorithm for the Optimal Design of Parking Lots with One-way and Two-way Lanes
Helen Thomas, Tarun Rambha

TL;DR
This paper introduces a branch-and-cut algorithm for optimizing parking lot designs with one-way and two-way lanes, significantly improving solution times and parking capacity through a flow-based mixed integer programming approach.
Contribution
It develops a novel branch-and-cut method that enhances the efficiency of solving parking lot design problems, extending existing models to better handle real-world constraints.
Findings
Branch-and-cut algorithm reduces solution times by up to 87%.
One-way lane configurations accommodate 18.63% more vehicles on average.
The model adapts to various grid resolutions and stall sizes without custom formulations.
Abstract
We address the problem of maximizing the number of stalls in parking lots where vehicles park perpendicular to the driveways. Building on recent research on two-way driving lanes, we first formulate a mixed integer program to maximize the number of parking stalls using a flow-based approach. Parking lots are rasterized into a grid, and the proposed MIP model optimizes them in a generic manner, adapting to the grid resolution and stall size without requiring custom formulations. The constraints ensure the connectivity of parking stalls and driveways to the entrance/exit. This formulation is then extended to the case of one-way driving lanes. We then propose valid inequalities and a branch-and-cut algorithm for the one-way and two-way lane configurations. This approach eliminates flow variables, big-M type constraints, and improves solution times for medium-sized instances. The…
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Taxonomy
TopicsSmart Parking Systems Research · Traffic control and management · Robotic Path Planning Algorithms
