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Traffic sense: which factors influence the ability to predict the development of traffic scenes?
Swedish National Road and Transport Research Institute.ORCID iD: 0000-0002-1849-9722
Swedish National Road and Transport Research Institute.
Linköpings Universitet.
Swedish National Road and Transport Research Institute.
2003 (English)In: Accident Analysis and Prevention, ISSN 0001-4575, E-ISSN 1879-2057, Vol. 35, no 5, p. 749-762Article in journal (Refereed) Published
Abstract [en]

A study was conducted to evaluate the skill to predict the development of traffic situations. A stop-controlled intersection was filmed over several days, and 12 scenes with varying traffic complexity were selected. In half of the scenes, the traffic rules were violated, in half of the scenes, the rules were observed. A total of 36 participants were asked to watch the scenes and predict how the scene would most likely develop in the 2 s after the film was paused. Additionally, the participants rated how certain they were about their prediction, and how complex and dangerous they assessed the scenes to be. With the method used here, experienced drivers were not found to make more correct predictions of situational development, and no difference in skill to predict could be found between genders. Nevertheless, more experienced drivers were more certain in their judgements and evaluated the situations on average as less complex and dangerous than did less experienced drivers. Scenes in which the traffic rules were violated were more difficult to predict correctly. The scenes in which the participants predicted violations were rated as more complex and dangerous. It is concluded that the low-cost method used here is more useful for examining which scenes are generally easy or difficult to predict and how they are experienced subjectively than to investigate differences in performance for different driver categories.

Place, publisher, year, edition, pages
2003. Vol. 35, no 5, p. 749-762
Keywords [en]
Behaviour, Skill (road user), Driver, Judgement (road user), Conflict (driving), Risk, Accident, Prediction
National Category
Applied Psychology
Research subject
80 Road: Traffic safety and accidents, 841 Road: Road user behaviour
Identifiers
URN: urn:nbn:se:vti:diva-7916DOI: 10.1016/S0001-4575(02)00078-7OAI: oai:DiVA.org:vti-7916DiVA, id: diva2:814837
Available from: 2015-05-28 Created: 2015-05-28 Last updated: 2020-01-23Bibliographically approved

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Vogel, KatjaKircher, AlbertAlm, HåkanNilsson, Lena

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