TY - GEN
T1 - Assessing the impact of relocation on the optimal design of electric vehicle sharing systems
AU - Lopez, Christian Clavijo
AU - Kchaou-Boujelben, Mouna
AU - Gicquel, Céline
AU - Halimi, Khedaoudj
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Car sharing
KW - electric vehicles
KW - mixed-integer linear programming
KW - network design
UR - http://www.scopus.com/inward/record.url?scp=85208239158&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85208239158&partnerID=8YFLogxK
U2 - 10.1109/CoDIT62066.2024.10708229
DO - 10.1109/CoDIT62066.2024.10708229
M3 - Conference contribution
AN - SCOPUS:85208239158
T3 - 10th 2024 International Conference on Control, Decision and Information Technologies, CoDIT 2024
SP - 1329
EP - 1334
BT - 10th 2024 International Conference on Control, Decision and Information Technologies, CoDIT 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Control, Decision and Information Technologies, CoDIT 2024
Y2 - 1 July 2024 through 4 July 2024
ER -
