Optimal routing for electric vehicle charging systems with stochastic demand: A heavy traffic approximation approach
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DOI: 10.1016/j.ejor.2021.06.058
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- Yan, Pengyu & Yu, Kaize & Chao, Xiuli & Chen, Zhibin, 2023. "An online reinforcement learning approach to charging and order-dispatching optimization for an e-hailing electric vehicle fleet," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1218-1233.
- Pegah Alaee & Julius Bems & Amjad Anvari-Moghaddam, 2023. "A Review of the Latest Trends in Technical and Economic Aspects of EV Charging Management," Energies, MDPI, vol. 16(9), pages 1-28, April.
- Kinene, Alan & Birolini, Sebastian & Cattaneo, Mattia & Granberg, Tobias Andersson, 2023. "Electric aircraft charging network design for regional routes: A novel mathematical formulation and kernel search heuristic," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1300-1315.
- Witt Andreas, 2023. "Determination of the Number of Required Charging Stations on a German Motorway Based on Real Traffic Data and Discrete Event-Based Simulation," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 14(1), pages 1-11, January.
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Keywords
Routing; Electric vehicle; Mean response time; Heavy traffic approximation; Convex optimization;All these keywords.
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