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Robust eBuses Charging Location Problem

delete2022-01-01
delete5
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OA
AI
C
César Loaiza Quintana *
A
Alejandro Arbeláez
L
Laura Climent
DOI:10.1109/OJITS.2022.3229647delete
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摘要

摘要

En 中文
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.
Keyword:
Electric buses
energy
optimization
robust charging location problem
smart cities

期刊

I
IEEE Open Journal of Intelligent Transportation Systems
IF:
5.3
论文数:
194
被引数:
970

机构

U
University College Cork
学者数:
1.5W
论文数: 1.3W
被引数: 1.7W
A
Autonomous University of Madrid
学者数:
2.1W
论文数: 1.7W
被引数: 29
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