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
Heads-Up Green in Connected Traffic Signals
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.ORCID iD: 0000-0001-5531-0274
Region Östergotland, Sweden.
2022 (English)In: IEEE Transactions on Intelligent Transportation Systems, ISSN 1524-9050, E-ISSN 1558-0016, Vol. 23, no 12, p. 23334-23345Article in journal (Refereed) Published
Abstract [en]

Information-sharing between traffic signals and connected vehicles can enhance the traffic conditions in signalized intersections. We propose a straightforward application, heads-up green, with the aim to inform queuing connected vehicles about a switch from red to green. In this way, the drivers' reaction time is expected to be reduced and the number of vehicles that can pass the intersection during a cycle is thereby increased. Unlike the applications Green Light Optimal Speed Advisory (GLOSA), time-to-green and time-to-red, there is no need for predictions of future traffic signal states. Therefore, heads-up green can be used in traffic actuated and adaptive control strategies in signalized intersections without loss in precision. A simulation-based evaluation of a typical Swedish intersection with a traffic actuated controller is performed to evaluate the traffic performance. The main goal as been to show on the potential to use heads-up green to increase traffic efficiency in signalized intersections. Additionally, different reaction times to the information from heads-up green has been investigated. The results show that with heads-up green it is possible to improve the travel time by up to 15% at high demand levels when queues are frequently observed. The improvements are largest with 100% connected vehicles, but significant improvements of 5-15% are observed also for lower shares of connected vehicles. At high demand levels, travel times are decreased already at small reductions in the reaction time. Hence, there is a potential to improve traffic efficiency already when small changes in reaction time can be achieved with heads-up green.

Place, publisher, year, edition, pages
IEEE, 2022. Vol. 23, no 12, p. 23334-23345
Keywords [en]
Connected vehicles, Switches, Behavioral sciences, Adaptive control, Safety, Microscopy, Fuels, traffic signals, heads-up green, microscopic traffic simulation, traffic efficiency
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:vti:diva-18865DOI: 10.1109/TITS.2022.3197919ISI: 000842050400001OAI: oai:DiVA.org:vti-18865DiVA, id: diva2:1715704
Available from: 2022-12-02 Created: 2022-12-02 Last updated: 2025-09-11Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Grumert, Ellen

Search in DiVA

By author/editor
Grumert, Ellen
By organisation
Traffic analysis and logistics
In the same journal
IEEE Transactions on Intelligent Transportation Systems
Transport Systems and Logistics

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 147 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