liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Traffic sense - Which factors influence the skill to predict the development of traffic scenes?
Linköping University, The Institute of Technology. Linköping University, Department of Mechanical Engineering.
2003 (English)In: Accident Analysis and Prevention, ISSN 0001-4575, Vol. 35, no 5, 749-762 p.Article 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 2s 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. © 2003 Elsevier Science Ltd. All rights reserved.

Place, publisher, year, edition, pages
2003. Vol. 35, no 5, 749-762 p.
Keyword [en]
Driving experience, Gender, Prediction, Traffic rules
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-46496DOI: 10.1016/S0001-4575(02)00078-7OAI: diva2:267392
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2011-01-13

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Alm, Håkan
By organisation
The Institute of TechnologyDepartment of Mechanical Engineering
In the same journal
Accident Analysis and Prevention
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
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

Altmetric score

Total: 14 hits
ReferencesLink to record
Permanent link

Direct link