Dynamic battery swapping and rebalancing strategies for e-bike sharing systems
Published in Transportation Research Part B: Methodological, 2023
We develop a staff-based operational strategy for e-bike sharing systems, integrating e-bike relocation and battery swapping through unified optimization. We model e-bike and battery station dynamics with a Markov chain, tracking fleet size and battery levels. We propose an adaptive one-step Markovian strategy and a globally optimal rolling-horizon strategy. Empirical validation on real-world data demonstrates over 20% profit improvement against industrial baselines.
DOI: 10.1016/j.trb.2023.102820
Recommended citation: Y. Zhou, Zeyu Lin, R. Guan, and J.-B. Sheu. (2023). "Dynamic battery swapping and rebalancing strategies for e-bike sharing systems." Transportation Research Part B: Methodological. doi: 10.1016/j.trb.2023.102820.
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