TY - GEN
T1 - A Metaheuristic Method to Design One-Way Electric Car Sharing System
AU - Harbi, Taki Eddine
AU - Lauwens, Ben
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Electric car sharing
KW - Heuristic
KW - One-way systems
KW - Ruin and recreate
UR - http://www.scopus.com/inward/record.url?scp=85205115810&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-71993-6_21
DO - 10.1007/978-3-031-71993-6_21
M3 - Conference contribution
AN - SCOPUS:85205115810
SN - 9783031719929
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 315
EP - 328
BT - Computational Logistics - 15th International Conference, ICCL 2024, Proceedings
A2 - Garrido, Alexander
A2 - Paternina-Arboleda, Carlos D.
A2 - Voß, Stefan
PB - Springer Science and Business Media Deutschland GmbH
T2 - 15th International Conferences on Computational Logistics, ICCL 2024
Y2 - 8 September 2024 through 10 September 2024
ER -