Assessing the impact of relocation on the optimal design of electric vehicle sharing systems - Réseaux & Optimisation Combinatoire et Stochastique
Communication Dans Un Congrès Année : 2024

Assessing the impact of relocation on the optimal design of electric vehicle sharing systems

Résumé

Electric vehicle sharing systems deployed in large cities provide alternative means of transportation for non-vehicle owners and visitors. This work considers the optimal design of a one-way station-based electric vehicle sharing system. Location of charging stations is assumed to be known so that the main strategic decisions regard the installation of charging ports at stations and the acquisition of electric vehicles. To assess the future system profitability, the strategic problem modeling should integrate tactical and operational decisions representing how the system will operate on a daily basis. This work investigates whether modeling an operational feature, vehicle relocation by employees, has a strong impact on the quality of the design decisions recommended by the optimization model.
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Dates et versions

hal-04811888 , version 1 (29-11-2024)

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Christian Clavijo Lopez, Mouna Kchaou-Boujelben, Céline Gicquel, Khedaoudj Halimi. Assessing the impact of relocation on the optimal design of electric vehicle sharing systems. 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), Jul 2024, Vallette, Malta. pp.1329-1334, ⟨10.1109/CoDIT62066.2024.10708229⟩. ⟨hal-04811888⟩
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