How will electric vehicles affect traffic congestion and energy consumption: An integrated modelling approach

Grigorev, A; Mao, T; Berry, A; Tan, J; Purushothaman, L; Mihaita, AS

How will electric vehicles affect traffic congestion and energy consumption: An integrated modelling approach

Grigorev, A Mao, T Berry, A Tan, J Purushothaman, L Mihaita, AS

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 2021, 2021-September, pp. 1635-1642
Issue Date:: 2021-09-19

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Field	Value	Language
dc.contributor.author	Grigorev, A
dc.contributor.author	Mao, T
dc.contributor.author	Berry, A
dc.contributor.author	Tan, J
dc.contributor.author	Purushothaman, L
dc.contributor.author	Mihaita, AS
dc.date	2021-09-19
dc.date.accessioned	2022-02-02T05:59:02Z
dc.date.available	2022-02-02T05:59:02Z
dc.date.issued	2021-09-19
dc.identifier.citation	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 2021, 2021-September, pp. 1635-1642
dc.identifier.isbn	9781728191423
dc.identifier.uri	http://hdl.handle.net/10453/154128
dc.description.abstract	This paper explores the impact of electric vehicles (EVs) on traffic congestion and energy consumption by proposing an integrated bi-level framework comprising of: a) a dynamic micro-scale traffic simulation suitable for modelling current and hypothetical traffic and charging demand scenarios and b) a queue model for capturing the impact of fast charging station use, informed by traffic flows, travel distances, availability of charging infrastructure and estimated vehicle battery state of charge. To the best of our knowledge, this paper represents the first integrated analysis of potential traffic congestion and energy infrastructure impacts linked to EV uptake, based on real traffic flows and the placement and design of existing fast-charging infrastructure. Results showcase that the integrated queue-energy-transport modelling framework can predict correctly the limitations of the EV infrastructure as well as the traffic congestion evolution. The modelling approach identifies concrete pain points to be addressed in both traffic and energy management and planning.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
dc.relation.ispartof	2021 IEEE International Intelligent Transportation Systems Conference (ITSC)
dc.relation.isbasedon	10.1109/ITSC48978.2021.9564561
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	How will electric vehicles affect traffic congestion and energy consumption: An integrated modelling approach
dc.type	Conference Proceeding
utslib.citation.volume	2021-September
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/A/DRsch The Data Science Institute
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2023-10-31T00:00:00+1000Z
dc.date.updated	2022-02-02T05:58:52Z
pubs.finish-date	2021-09-22
pubs.publication-status	Published
pubs.start-date	2021-09-19
pubs.volume	2021-September

Abstract:

This paper explores the impact of electric vehicles (EVs) on traffic congestion and energy consumption by proposing an integrated bi-level framework comprising of: a) a dynamic micro-scale traffic simulation suitable for modelling current and hypothetical traffic and charging demand scenarios and b) a queue model for capturing the impact of fast charging station use, informed by traffic flows, travel distances, availability of charging infrastructure and estimated vehicle battery state of charge. To the best of our knowledge, this paper represents the first integrated analysis of potential traffic congestion and energy infrastructure impacts linked to EV uptake, based on real traffic flows and the placement and design of existing fast-charging infrastructure. Results showcase that the integrated queue-energy-transport modelling framework can predict correctly the limitations of the EV infrastructure as well as the traffic congestion evolution. The modelling approach identifies concrete pain points to be addressed in both traffic and energy management and planning.

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http://hdl.handle.net/10453/154128