Publications
36373839404142 42 of 42
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
Augmented emergency lighting as a soft early warning: measures on road users when moving over
Swedish National Road and Transport Research Institute, Traffic and road users, Driver and vehicle.ORCID iD: 0000-0002-0330-7695
Swedish National Road and Transport Research Institute. Department of Computer and Information Science, Linköping University, Linköping, Sweden.
Swedish National Road and Transport Research Institute. Department of Science and Technology, Linköping University, Norrköping, Sweden.
Swedish National Road and Transport Research Institute. Department of Computer and Information Science, Linköping University, Linköping, Sweden.
Show others and affiliations
2024 (English)In: Acta Polytechnica CTU Proceedings, Czech Technical University in Prague , 2024, Vol. 51, p. 36-41Conference paper, Published paper (Refereed)
Abstract [en]

A novel interface to provide robust, intuitive, and timely alerts to road users to move over for emergency vehicles (EVs) was tested in a seven-minute driving-simulator experiment. The interface, Augmented Emergency Lighting (AEL), mimics emergency lighting on emergency vehicles (i.e., flashing blue light), by using the cars’ interior lighting. AEL was initiated 30 seconds before an EV caught up and increased its brightness proportionally to the distance to the EV. The AEL alert was after 16 seconds accompanied by an Emergency Vehicle Approaching (EVA) alert, presented as a voice command and a text message on the dashboard. Comparisons were made between AEL+EVA alerts, EVA-only alerts, and no alerts, between groups (N = 61). Both AEL+EVA alerts and AEL-only alerts were highly successful in getting drivers to move over by slowing down and pulling off to the side as compared to when there were no alerts, but no significant difference between AEL+EVA and EVA-only was found. Questionnaire responses showed that AEL+EVA alerts were generally appreciated and that their timing was good. Further studies on learning effects and usability are discussed.

Place, publisher, year, edition, pages
Czech Technical University in Prague , 2024. Vol. 51, p. 36-41
Series
Acta Polytechnica CTU Proceedings, E-ISSN 2336-5382
Keywords [en]
emergency driving, warning messages, alerts, soft warning messages, simulator study
National Category
Human Computer Interaction Applied Psychology
Identifiers
URN: urn:nbn:se:vti:diva-21938DOI: 10.14311/app.2024.51.0036Scopus ID: 2-s2.0-105002304283OAI: oai:DiVA.org:vti-21938DiVA, id: diva2:1953549
Conference
2023 Driver-Car Interaction and Safety Conference (DCIS), Prague, 30 November, 2023.
Available from: 2025-04-22 Created: 2025-04-22 Last updated: 2025-04-22Bibliographically approved

Open Access in DiVA

fulltext(309 kB)9 downloads
File information
File name FULLTEXT01.pdfFile size 309 kBChecksum SHA-512
79a8f1f53f036e97cdbbb384ef7f92ed21da1f42977fd0abdfff8807199ae8c92738f6880343041683e47c3ba34399e246eead32c777db415a24ae27588d7e07
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Lidestam, BjörnWeibull, Kajsa

Search in DiVA

By author/editor
Lidestam, BjörnWeibull, Kajsa
By organisation
Driver and vehicleSwedish National Road and Transport Research Institute
Human Computer InteractionApplied Psychology

Search outside of DiVA

GoogleGoogle Scholar
Total: 9 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: 197 hits
36373839404142 42 of 42
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