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Summary & Details

Estimating the Need for Charging Infrastructure with the Help of Multi-Agent Transport Simulations

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20215213

Paper/Info type: Proceedings (Spring)

No.48-21

Pages: 1-6(Total 6 p)

Date of publication: May 2021

Publisher: JSAE

Language: English

Event: 2021 JSAE Annual Congress (Spring)[Online Meeting]

Detailed Information

Author(E)	1) Francisco J. Márquez-Fernández, 2) Joschka Bischoff, 3) Gabriel Dominguez, 4) Mats Alaküla
Affiliation(E)	1) Lund University / Chalmers University of Technology, 2) Technical University Berlin, 3) Lund University, 4) Lund University
Abstract(E)	The number of Electric Vehicles is expected to grow significantly, for both light- and heavy-duty vehicles. However, the development of charging infrastructure is lagging behind, and there is no clear answer as to which charging infrastructure configuration is the best to fulfil the existing transport demand. This paper describes how to use Multi-Agent Transport Simulations (MATSim) to estimate the charging infrastructure needs. As an example, long-distance transport in Sweden is considered under different scenarios, with and without ERS. The results show that the deployment of ERS on selected roads significantly impacts the number of charging stations needed and their usage.

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