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Optimization of Freight Charging Infrastructure Placement Using Multiday Travel Data
Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.
Halmstad University, School of Business, Innovation and Sustainability. Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.
Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.ORCID iD: 0000-0002-3120-1361
2023 (English)In: 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2023, p. 1576-1582Conference paper, Published paper (Refereed)
Abstract [en]

The electrification of vehicles has the potential to significantly reduce greenhouse gas emissions and environmental impacts on transportation. However, locating charging infrastructure for electric vehicles has become increasingly complex. This research examines the distribution system of a logistics firm located in Gothenburg, Sweden, and the problem of allocating shared or semi-public charging stations for their fleet of vehicles. A real-time database was set up to record trip data for the company's fleet of freight vehicles, and data from over 110,000 trips were collected from November 2021 to May 2022. The study proposes parking locations during daytime as potential sites for shared charging stations, and the problem of allocating shared charging stations is formulated as a Location Set Covering Problem (LSCP). The goal is to provide decision-making support for logistics companies transitioning to electric vehicles. The model proposed in this study can be easily adapted to other freight transport systems, facilitating a swift transition to eco-friendly freight transportation. © 2023 IEEE.

Place, publisher, year, edition, pages
IEEE, 2023. p. 1576-1582
Series
IEEE International Conference on Intelligent Transportation Systems, ISSN 2153-0009, E-ISSN 2153-0017
Keywords [en]
Electric potential, Transportation, Charging stations, Electric vehicles, Resource management, Optimization, Logistics
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:hh:diva-52894DOI: 10.1109/ITSC57777.2023.10422334Scopus ID: 2-s2.0-85186511460ISBN: 979-8-3503-9946-2 (electronic)ISBN: 979-8-3503-9947-9 (print)OAI: oai:DiVA.org:hh-52894DiVA, id: diva2:1845272
Conference
26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023, Bilbao, Spain, 24-28 September, 2023
Funder
Swedish Energy Agency, 51328Available from: 2024-03-18 Created: 2024-03-18 Last updated: 2024-03-18Bibliographically approved

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Bhatti, Harrison John

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