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Optimization of Freight Charging Infrastructure Placement Using Multiday Travel Data
Swedish National Road and Transport Research Institute, Traffic and road users, Driver and vehicle.ORCID iD: 0000-0002-3955-5236
Swedish National Road and Transport Research Institute, Traffic and road users, Vehicle Systems and Driving Simulation.. Halmstad University, Sweden.ORCID iD: 0000-0003-2407-6432
Swedish National Road and Transport Research Institute, Traffic and road users, Vehicle Systems and Driving Simulation..ORCID iD: 0000-0002-3120-1361
2024 (English)In: 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2024, p. 1576-1582Conference paper, Published paper (Other academic)
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.

Place, publisher, year, edition, pages
IEEE, 2024. p. 1576-1582
Series
IEEE International Conference on Intelligent Transportation Systems proceedings, 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 Computer Systems
Identifiers
URN: urn:nbn:se:vti:diva-20452DOI: 10.1109/ITSC57777.2023.10422334Scopus ID: 2-s2.0-85186511460ISBN: 9798350399462 (electronic)ISBN: 9798350399479 (print)OAI: oai:DiVA.org:vti-20452DiVA, id: diva2:1844828
Conference
26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, September 24-28, 2023.
Funder
Swedish Energy Agency, 51328Available from: 2024-03-15 Created: 2024-03-15 Last updated: 2025-09-11Bibliographically approved

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Fu, JialiBhatti, Harrison JohnEek, Magnus

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CiteExportLink to record
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Citation style
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Output format
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