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The Impact of Weather Conditions on Performance and Perceived Risk in Simulated Driving Situations
Linköping University, Department of Computer and Information Science, Human-Centered Systems. Linköping University, Faculty of Arts and Sciences. (Coin)ORCID iD: 0000-0002-3939-062X
Linköping University.
Linköping University, Department of Computer and Information Science, Human-Centered Systems. Linköping University, Faculty of Arts and Sciences. (Coin)ORCID iD: 0000-0003-0098-5391
2025 (English)In: Human Factors and Ergonomics Society European Chapter: Annual Meeting 2025, Bologna, 2025Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Young drivers are a high-risk group for road traffic accidents, highlighting the need for advanced methods to assess and improve risk awareness. With driving simulators being considered as a possible mandatory part of the Swedish driving test, this study examines the effects of different weather conditions on performance and perceived risk during simulator-based driving tests.

26 participants (mean age = 19, SD = 2, 12 male, 11 female, and 3 unspecified) mainly recruited at an automotive high school took part in the study. All participants completed 14 driving situations in a fixed-based simulator. Weather conditions—daytime, nighttime, rain, and fog—were varied in a rolling scheme, with 3–4 traffic situations per condition. Participants, divided into four groups, experienced all weather conditions. 

Outcomes were recorded as pass/fail and supplemented with self-assessment ratings of performance and perceived risk for each situation. There was a statistically significant effect of weather conditions on driving performance, F(3, 69) = 2.973, p < .05. The test performance score (M ± SD) was highest in daytime (.64 ± .37) and nighttime (.64 ± .34) followed by rain (.58 ± .38), and fog (.43 ± .40). However, post hoc analysis with a Bonferroni adjustment indicated no statistically significant pairwise differences. There was no statistically significant effect of weather conditions on self-assessed driving performance or on perceived risk. This study offers new insights into using light and weather conditions in simulator-based driver assessment.

Place, publisher, year, edition, pages
Bologna, 2025.
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-213249OAI: oai:DiVA.org:liu-213249DiVA, id: diva2:1954540
Conference
HFES Europe 2025, Bologna, Italy, April 9-11, 2025
Available from: 2025-04-25 Created: 2025-04-25 Last updated: 2025-04-29

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Thorslund, BirgittaThellman, Sam

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CiteExportLink to record
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