Abstract
Bicycle sharing systems can significantly reduce traffic, pollution, and the need for parking spaces in city centers. One of the keys to success for a bicycle sharing system is the efficiency of rebalancing operations, where the number of bicycles in each station has to be restored to its target value by a truck through pickup and delivery operations. The Static Bicycle Rebalancing Problem aims to determine a minimum cost sequence of stations to be visited by a single vehicle as well as the amount of bicycles to be collected or delivered at each station. Multiple visits to a station are allowed, as well as using stations as temporary storage. This paper presents an exact algorithm for the problem and results of computational tests on benchmark instances from the literature. The computational experiments show that instances with up to 60 stations can be solved to optimality within 2 hours of computing time.
Original language | English |
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Pages (from-to) | 667-679 |
Number of pages | 13 |
Journal | European Journal of Operational Research |
Volume | 245 |
Issue number | 3 |
Early online date | 6 Apr 2015 |
DOIs | |
Publication status | Published - 16 Sept 2015 |
Keywords
- bicycle sharing systems
- pickup and delivery
- multiple visits
- branch-and-cut
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Maria Battarra
- Management - Professor
- Information, Decisions & Operations - Director of Studies MSc in Management suite
- Made Smarter Innovation: Centre for People-Led Digitalisation
- IAAPS
- Centre for Climate Adaptation & Environment Research (CAER)
- The Foundry: Centre for Digital, Manufacturing & Design
Person: Research & Teaching, Affiliate staff
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Gunes Erdogan
- Management - Professor
- Information, Decisions & Operations - Director of Studies MSc in Business Analytics
- Centre for Healthcare Innovation and Improvement
- Institute for Mathematical Innovation (IMI)
- Smart Warehousing and Logistics Systems
Person: Research & Teaching, Researcher