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Optimizing timing for emergency vehicle approaching warnings
Swedish National Road and Transport Research Institute, Traffic and road users, Driver and vehicle. Department of Computer and Information Science, Linköping University Linköping, Sweden.ORCID iD: 0000-0001-9724-8456
Swedish National Road and Transport Research Institute, Traffic and road users, Driver and vehicle.ORCID iD: 0000-0002-0330-7695
Department of Computer and Information Science, Linköping University, Linköping, Sweden.ORCID iD: 0000-0001-5943-0679
2024 (English)In: Acta Polytechnica CTU Proceedings, Czech Technical University in Prague , 2024, Vol. 51, p. 125-128Conference paper, Published paper (Refereed)
Abstract [en]

Emergency driving is a demanding task. The ITS service Emergency Vehicle Approaching provides drivers with an in-car warning that an emergency vehicle is approaching. To ensure that the warning is efficient and reliable it must have a suitable timing. The EVA warning must be presented early enough to allow the driver to make a safe move-over maneuver. However, the distribution of EVA warnings is based on the most probable path of the emergency vehicle. If an EVA warning is distributed too early, it increases the risk of false alarms. In addition, if a warning is given too early the driver might deem it as irrelevant. Previous studies have distributed EVA warnings based on the distance between the emergency vehicle and surrounding cars. However, if the speed of the vehicle is not accounted for there is a risk of insufficient time for the driver to prepare for the emergency vehicle interaction. To explore suitable EVA timing, post-survey data from five driving simulator studies where drivers were exposed to EVA warnings were analyzed. The results suggest that 15-20 seconds could be an appropriate EVA timing. However, the required time for a move-over maneuver depends on the complexity of the current traffic situation.

Place, publisher, year, edition, pages
Czech Technical University in Prague , 2024. Vol. 51, p. 125-128
Series
Acta Polytechnica CTU Proceedings
Keywords [en]
emergency vehicle, intelligent transport systems, Emergency Vehicle Approaching, warning
National Category
Applied Psychology Human Computer Interaction
Identifiers
URN: urn:nbn:se:vti:diva-21939DOI: 10.14311/app.2024.51.0125Scopus ID: 2-s2.0-105002286199OAI: oai:DiVA.org:vti-21939DiVA, id: diva2:1953565
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

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Weibull, KajsaLidestam, Björn

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