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- W4315690094 abstract "Electric buses (e-buses) are one of the promising drivers of the transition towards electrified public transportation to facilitate efficient and environmentally friendly mobility. In this regard, several universities across the globe are deploying e-buses for their campus shuttle services. However, enabling reliable and cost-effective operation of e-bus fleets is a complex task, mainly due to the limited driving range and charging costs of the vehicles. In this work, we propose a vehicle and charging scheduling framework to enable cost-optimal and feasible operation of campus shuttle electric buses. First, we develop a three-stage multi-depot vehicle scheduling problem (VSP) to allocate the trips to e-buses such that the daily energy requirement per each bus is levelized. Then, we introduce a charging scheduling problem (CSP) to minimize the electricity cost of charging, which consists of demand and time-of-use energy charges. Numerical case studies on the shuttle bus network of National University of Singapore reveal that the charging costs can be decreased by up to 63.33% when compared to an overnight charging strategy. Furthermore, with the proposed approach, it is found out that the average battery degradation of e-bus fleet is reduced by up to 11.78%." @default.
- W4315690094 created "2023-01-12" @default.
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- W4315690094 date "2022-11-01" @default.
- W4315690094 modified "2023-09-27" @default.
- W4315690094 title "A Vehicle and Charging Scheduling Framework for Campus Shuttle Electric Buses" @default.
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- W4315690094 doi "https://doi.org/10.1109/isgtasia54193.2022.10003555" @default.
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