https://www.mdu.se/

mdu.sePublications
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
Prediction of Communication Delays in Connected Vehicles and Platoons
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-9448-0361
Mondragon Unibertsitatea, Elect & Comp Sci Dept, Arrasate Mondragon, Spain..
Mondragon Unibertsitatea, Elect & Comp Sci Dept, Arrasate Mondragon, Spain..
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-9589-6986
Show others and affiliations
2023 (English)In: 2023 IEEE 97TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-SPRING, IEEE , 2023Conference paper, Published paper (Refereed)
Abstract [en]

Automated vehicles connected through vehicle-tovehicle communications can use onboard sensor information from adjacent vehicles to provide higher traffic safety or passenger comfort. In particular, automated vehicles forming a platoon can enhance traffic safety by communicating before braking hard. It can also improve fuel efficiency by enabling reduced aerodynamic drag through short gaps. However, packet losses may increase the delay between periodic beacons, especially for the rear vehicles in a platoon. If the connected vehicles can forecast link quality, they can assign different performance levels in terms of intervehicle distances and also facilitate the designing of safer braking strategies. This paper proposes a strategy for incorporating machine learning algorithms into, e.g., the lead vehicle of a platoon to enable online training and real-time prediction of communication delays incurred by connected vehicles during runtime. The prediction accuracy and its suitability for making safety-critical decisions during, e.g., emergency braking have been evaluated through rigorous simulations.

Place, publisher, year, edition, pages
IEEE , 2023.
Series
IEEE Vehicular Technology Conference Proceedings, ISSN 2577-2465
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-64788DOI: 10.1109/VTC2023-Spring57618.2023.10200902ISI: 001054797202104Scopus ID: 2-s2.0-85169839109ISBN: 979-8-3503-1114-3 (print)OAI: oai:DiVA.org:mdh-64788DiVA, id: diva2:1813807
Conference
97th IEEE Vehicular Technology Conference (VTC-Spring), JUN 20-23, 2023, Florence, ITALY
Available from: 2023-11-22 Created: 2023-11-22 Last updated: 2023-11-22Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Hasan, ShahriarGirs, SvetlanaUhlemann, Elisabeth

Search in DiVA

By author/editor
Hasan, ShahriarGirs, SvetlanaUhlemann, Elisabeth
By organisation
Embedded Systems
Vehicle Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 36 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