Electric Vehicle Scheduling: State of the Art, Critical Challenges, and Future Research Opportunities
Publication Year: 2024
Author(s): Pasha J, Li B, Elmi Z, Fathollahi-Fard A M, Lau Y, Roshani A, Kawasaki T, Dulebenets M A
Abstract:
Electric vehicles aim to reduce carbon emissions, improve energy efficiency, and promote sustainable development, but their deployment requires careful planning due to limitations like limited range and carrying capacity. The electric vehicle scheduling problem should be studied in detail to overcome such limitations, as it addresses them while optimizing the paths and timetables of electric vehicles. A number of studies have been dedicated to electric vehicle scheduling. Yet, there is a lack of survey studies that cover a structural recapitulation of the electric vehicle scheduling efforts and provide a thorough overview of the existing tendencies, operations research aspects, problem-specific properties, and future research needs. For this reason, this study offers a structured survey of the existing research studies, which assessed electric vehicle scheduling. The collected studies are grouped into three categories for a detailed review, namely general electric vehicle scheduling, electric vehicle scheduling with power grid considerations, and electric vehicle scheduling with environmental considerations. A detailed description of the relevant studies, along with a summary of findings and future research needs, are provided for each of the study categories. In addition, a representative mathematical model is outlined for each study category in order to guide future research. The outcomes of this research are expected to provide interesting and important insights for different groups of professionals in the field of electric vehicles.
Source of Publication: Journal of Industrial Information Integration
Vol/Issue: 38: 100561
DOI No.: 10.1016/j.jii.2024.100561
Country: United States of America
Publisher/Organisation: Elsevier
Rights: Elsevier Ltd.
URL:
https://www.sciencedirect.com/science/article/abs/pii/S2452414X24000050
Theme: Vehicle Technology | Subtheme: Electric vehicles
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