False Alarm Effects in Early Warnings for Emergency Vehicles: Exploring Drivers’ Move-Over Behavior
Responsible organisation
2023 (English)In: Human Factors, ISSN 0018-7208, E-ISSN 1547-8181, article id 00187208231216835Article in journal (Refereed) Epub ahead of print
Abstract [en]
Objective: This study investigated drivers' move-over behavior when receiving an Emergency Vehicle Approaching (EVA) warning. Furthermore, the possible effects of false alarms, driver experience, and modality on move-over behavior were explored.
Background: EVA warnings are one solution to encourage drivers to move over for emergency vehicles in a safe and timely manner. EVA warnings are distributed based on the predicted path of the emergency vehicle causing a risk of false alarms. Previous EVA studies have suggested a difference between inexperienced and experienced drivers' move-over behavior.
Method: A driving simulator study was conducted with 110 participants, whereof 54 inexperienced and 56 experienced drivers. They were approached by an emergency vehicle three times. A control group received no EVA warnings, whereas the experimental groups received either true or false warnings, auditory or visual, 15 seconds before the emergency vehicle overtook them.
Results: Drivers who received EVA warnings moved over more quickly for the emergency vehicle compared to the control group. Drivers moved over more quickly for each emergency vehicle interaction. False alarms impaired move-over behavior. No difference in driver behavior based on driver experience or modality was observed.
Conclusion: EVA warnings positively affect drivers' move-over behavior. However, false alarms can decrease drivers' future willingness to comply with the warning.
Application: The findings regarding measurements of delay can be used to optimize the design of future EVA systems. Moreover, this research should be used to further understand the effect of false alarms in in-car warnings.
Place, publisher, year, edition, pages
Sage Publications , 2023. article id 00187208231216835
Keywords [sv]
driver behavior, intelligent vehicle systems, warning systems, expert–novice differences, warning compliance
National Category
Applied Psychology
Research subject
FOI-portföljer, Möjliggöra
Identifiers
URN: urn:nbn:se:trafikverket:diva-19938DOI: 10.1177/00187208231216835ISI: 001111090300001Scopus ID: 2-s2.0-85178395125OAI: oai:DiVA.org:trafikverket-19938DiVA, id: diva2:1982956
Projects
Simuleringsmodeller, metod och teknik för nordiska C-ITS-tjänster
Funder
Vinnova, 2018-01523Swedish Transport Administration, TRV 2020/25755
Note
Forskningsfinansiärer/Research funders:
Nordic Way 3, 2021-03693
Nordic Way 3, 2018-EU-TM-0026-S
Svensk Trafikmedicinsk Förening
2025-07-092025-07-092025-09-04