Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | 10th 2024 International Conference on Control, Decision and Information Technologies, CoDIT 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1329-1334 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350373974 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 10th International Conference on Control, Decision and Information Technologies, CoDIT 2024 - Valletta, Malta Duration: Jul 1 2024 → Jul 4 2024 |
Publication series
| Name | 10th 2024 International Conference on Control, Decision and Information Technologies, CoDIT 2024 |
|---|
Conference
| Conference | 10th International Conference on Control, Decision and Information Technologies, CoDIT 2024 |
|---|---|
| Country/Territory | Malta |
| City | Valletta |
| Period | 7/1/24 → 7/4/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Car sharing
- electric vehicles
- mixed-integer linear programming
- network design
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Information Systems
- Decision Sciences (miscellaneous)
- Information Systems and Management
- Control and Systems Engineering
- Control and Optimization
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