Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Bottleneck mitigation through a variable speed limit system using connected vehicles
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.ORCID iD: 0000-0001-5531-0274
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.ORCID iD: 0000-0001-9635-5233
2020 (English)In: Transportmetrica A: Transport Science, ISSN 2324-9935, E-ISSN 2324-9943, Vol. 16, no 2, p. 213-233Article in journal (Refereed) Published
Abstract [en]

Variable speed limit (VSL) systems are used to improve the traffic conditions by adjusting the speed limits based on the current traffic situation. Advances in vehicle technology have made it possible to use connected vehicles in VSL systems. Connected vehicles can continuously transmit information about their speed and location, which can be used to estimate the current traffic conditions at arbitrary locations. In this study, we propose a VSL system based on connected vehicles. The aim is to also allow application of VSLs for non-recurrent bottleneck mitigation at arbitrary locations, unlike today's systems which require densely placed detectors or are limited to beforehand known bottleneck locations. The proposed system is evaluated by microscopic traffic simulation. The results indicate that the VSL system manage to improve traffic efficiency in a simulated incident scenario.

Place, publisher, year, edition, pages
Taylor and Francis Ltd. , 2020. Vol. 16, no 2, p. 213-233
Keywords [en]
Connected vehicle, Variable speed limit, Bottleneck, Evaluation (assessment), Simulation, Micro
National Category
Infrastructure Engineering
Research subject
20 Road: Traffic engineering, 22 Road: Traffic control and traffic information
Identifiers
URN: urn:nbn:se:vti:diva-13453DOI: 10.1080/23249935.2018.1547332Scopus ID: 2-s2.0-85057525365OAI: oai:DiVA.org:vti-13453DiVA, id: diva2:1274212
Available from: 2018-12-28 Created: 2018-12-28 Last updated: 2022-06-16Bibliographically approved

Open Access in DiVA

fulltext(2846 kB)73 downloads
File information
File name FULLTEXT02.pdfFile size 2846 kBChecksum SHA-512
b8dd8a8c3527d4d590b831bd38be1339b31a3a5791887bfe9bc213a2e655f58dabca35ce4059bdfdb9bc5b8866e3f842ee90fa76bebb8396f777bb3b49698f0d
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Grumert, EllenTapani, Andreas

Search in DiVA

By author/editor
Grumert, EllenTapani, Andreas
By organisation
Traffic analysis and logistics
In the same journal
Transportmetrica A: Transport Science
Infrastructure Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 188 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 264 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf