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A General Framework to Evaluate Different Rebalancing Operations Strategies in One-Way Car Sharing Systems

In: Operations Research Proceedings 2022

Author

Listed:
  • Selin Ataç

    (École Polytechnique Fédérale de Lausanne)

  • Nikola Obrenović

    (University of Novi Sad)

  • Michel Bierlaire

    (École Polytechnique Fédérale de Lausanne)

Abstract

Car sharing systems (CSSs) are one of the environmentally beneficial solutions in urban transportation. However, the operators still struggle to make these systems profitable. One of the main contributors in operational cost is rebalancing operations. Therefore, it is important to identify strategies that are tailored according to the needs of the considered system. To overcome this challenge, this work proposes a simulation-optimization framework that compares different rebalancing operations strategies in one-way station-based car sharing systems in terms of cost and level of service. The simulation module utilizes the Multi-Agent Transport Simulation Toolkit (MATSim) whilst the rebalancing operations are determined in the optimization module. The framework allows us to explore the different uncertainties that can occur in the system, such as fluctuations in trip demand thanks to the MATSim. The results of the framework help the operator to better analyze the system and the best rebalancing strategy under different scenarios.

Suggested Citation

  • Selin Ataç & Nikola Obrenović & Michel Bierlaire, 2023. "A General Framework to Evaluate Different Rebalancing Operations Strategies in One-Way Car Sharing Systems," Lecture Notes in Operations Research, in: Oliver Grothe & Stefan Nickel & Steffen Rebennack & Oliver Stein (ed.), Operations Research Proceedings 2022, chapter 0, pages 463-469, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-24907-5_55
    DOI: 10.1007/978-3-031-24907-5_55
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