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Robust eBuses Charging Location Problem

Authors :
CeSar Loaiza Quintana
Alejandro Arbelaez
Laura Climent
Source :
IEEE Open Journal of Intelligent Transportation Systems, Vol 3, Pp 856-871 (2022)
Publication Year :
2022
Publisher :
IEEE, 2022.

Abstract

The implementation of a sustainable and efficient electric bus (eBus) transportation network requires addressing multiple concerns, such as limited driving range and battery charging/discharging time. Currently, eBuses can travel between 200 to 300 km on a single charge, and fast charging stations can fully recharge a battery in a matter of minutes. However, a failure in a charging station might negatively impact the operation of the system with unnecessary delays for the users. Taking this into account, we propose and implement a model for the Robust eBuses Charging Location problem that takes into account potential vulnerabilities of the transportation system. Our model incorporates a protection mechanism that allows eBuses to reach a backup charging station in case the regular one is down. We propose a MIP model to tackle this problem with minimal disruptions in the regular operation of the eBuses. Furthermore, we also present a Large Neighbourhood Search framework to efficiently tackle the problem. Our empirical evaluation suggests that our framework can operate a robust service with a small number of charging stations for three Irish cities and our Large Neighbourhood Search approach largely outperforms a popular commercial MIP solver.

Details

Language :
English
ISSN :
26877813
Volume :
3
Database :
Directory of Open Access Journals
Journal :
IEEE Open Journal of Intelligent Transportation Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.39e5b8d70bae46a390de513bc558c9a9
Document Type :
article
Full Text :
https://doi.org/10.1109/OJITS.2022.3229647