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Resources Relocation Support Strategy Based on a Modified Genetic Algorithm for Bike-Sharing Systems

Author

Listed:
  • Horațiu Florian

    (Department of Automation, Technical University of Cluj-Napoca, 40014 Cluj-Napoca, Romania)

  • Camelia Avram

    (Department of Automation, Technical University of Cluj-Napoca, 40014 Cluj-Napoca, Romania)

  • Mihai Pop

    (Department of Automation, Technical University of Cluj-Napoca, 40014 Cluj-Napoca, Romania)

  • Dan Radu

    (Department of Automation, Technical University of Cluj-Napoca, 40014 Cluj-Napoca, Romania)

  • Adina Aștilean

    (Department of Automation, Technical University of Cluj-Napoca, 40014 Cluj-Napoca, Romania)

Abstract

In recent decades, special attention has been given to the adverse effects of traffic congestion. Bike-sharing systems, as a part of the broader category of shared transportation systems, are seen as viable solutions to these problems. Even if the quality of service in bike-sharing service systems were permanently improved, there would still be some issues that needed new and more efficient solutions. One of these refers to the rebalancing operations that follow the bike depletion phenomenon that affects most stations during shorter or longer time periods. Current work develops a two-step method to perform effective rebalancing operations in bike-sharing. The core elements of the method are a fuzzy logic-controlled genetic algorithm for bike station prioritization and an inference mechanism aiming to do the assignment between the stations and trucks. The solution was tested on traffic data collected from the Citi Bike New York bike-sharing system. The proposed method shows overall superior performance compared to other algorithms that are specific to capacitated vehicle routing problems: standard genetic algorithm, ant colony optimization, Tabu search algorithm, and improved performance compared to Harris Hawks optimization for some scenarios. Since the algorithm is independent of past traffic measurements, it applies to any other potential bike-sharing system.

Suggested Citation

  • Horațiu Florian & Camelia Avram & Mihai Pop & Dan Radu & Adina Aștilean, 2023. "Resources Relocation Support Strategy Based on a Modified Genetic Algorithm for Bike-Sharing Systems," Mathematics, MDPI, vol. 11(8), pages 1-32, April.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:8:p:1816-:d:1120926
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    References listed on IDEAS

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    1. Fabio Kon & Éderson Cássio Ferreira & Higor Amario Souza & Fábio Duarte & Paolo Santi & Carlo Ratti, 2022. "Abstracting mobility flows from bike-sharing systems," Public Transport, Springer, vol. 14(3), pages 545-581, October.
    2. Fuqiang Lu & Hualing Bi & Min Huang & Shupeng Duan, 2017. "Simulated Annealing Genetic Algorithm Based Schedule Risk Management of IT Outsourcing Project," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-17, September.
    3. Bulhões, Teobaldo & Subramanian, Anand & Erdoğan, Güneş & Laporte, Gilbert, 2018. "The static bike relocation problem with multiple vehicles and visits," European Journal of Operational Research, Elsevier, vol. 264(2), pages 508-523.
    4. Schuijbroek, J. & Hampshire, R.C. & van Hoeve, W.-J., 2017. "Inventory rebalancing and vehicle routing in bike sharing systems," European Journal of Operational Research, Elsevier, vol. 257(3), pages 992-1004.
    5. Peiyu Yi & Feihu Huang & Jian Peng, 2019. "A Rebalancing Strategy for the Imbalance Problem in Bike-Sharing Systems," Energies, MDPI, vol. 12(13), pages 1-18, July.
    6. Zhang, Xiangyi & Chen, Lu & Gendreau, Michel & Langevin, André, 2022. "A branch-and-cut algorithm for the vehicle routing problem with two-dimensional loading constraints," European Journal of Operational Research, Elsevier, vol. 302(1), pages 259-269.
    7. Ning Guo & Bin Qian & Rong Hu & Huai P. Jin & Feng H. Xiang, 2020. "A Hybrid Ant Colony Optimization Algorithm for Multi-Compartment Vehicle Routing Problem," Complexity, Hindawi, vol. 2020, pages 1-14, October.
    8. Yangkun Xia & Zhuo Fu & Lijun Pan & Fenghua Duan, 2018. "Tabu search algorithm for the distance-constrained vehicle routing problem with split deliveries by order," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-19, May.
    9. Jorge Oyola & Halvard Arntzen & David L. Woodruff, 2018. "The stochastic vehicle routing problem, a literature review, part I: models," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 7(3), pages 193-221, September.
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