A Metaheuristic Method to Design One-Way Electric Car Sharing System

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Samenvatting

Electric car sharing systems provide users with short-term access to a variety of shared electric vehicles, with payments linked to usage. It is an innovative transport strategy that enables users to find the adequate type of electric vehicle according to their needs and only when required. The configuration of these systems has a major impact on the attractiveness of the car sharing operators, hence, their revenues and their ability of serving as many customers as possible. This configuration consists of several parameters such as the location and capacity of stations for recharging and parking electric cars, the number and types of electric cars, as well as their battery capacities. In this paper, we investigate how to design an efficient one-way electric car sharing system. The aim is to select a set of locations, from a set of possibilities, to establish the stations and to determine the initial number of electric cars at each station. Our main contribution is a ruin and recreate neighborhood heuristic that we propose to generate new solutions. We evaluated our heuristic on scenario data from Manhattan, USA.

Originele taal-2Engels
TitelComputational Logistics - 15th International Conference, ICCL 2024, Proceedings
RedacteurenAlexander Garrido, Carlos D. Paternina-Arboleda, Stefan Voß
UitgeverijSpringer Science and Business Media Deutschland GmbH
Pagina's315-328
Aantal pagina's14
ISBN van geprinte versie9783031719929
DOI's
StatusGepubliceerd - 2024
Evenement15th International Conferences on Computational Logistics, ICCL 2024 - Monterrey, Mexico
Duur: 8 sep. 202410 sep. 2024

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15168 LNCS
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

Congres15th International Conferences on Computational Logistics, ICCL 2024
Land/RegioMexico
StadMonterrey
Periode8/09/2410/09/24

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