
Staged footage was found to discriminate as well as unstaged footage, with static images also adding valuable information on hazard perception. locate potential hazard in the scenario) were inconsistent. press a button when detecting the potential hazard) are a consistent measure of hazard perception across road user groups, whereas spatial measures (e.g. Whilst there was a high level of heterogeneity of studies, video methodology utilising temporal responses (e.g. However all methodologies - video, static image, simulator and real-world test-drive were able to discriminate road user groups categorised by age and/or experience, on at least one measure of hazard perception. There was a high degree of heterogeneity in the studies. Studies included a hazard perception test methodology and compared non-clinical populations of road users (car drivers, motorcyclists, bicyclists and pedestrians), based on age and experience, or compared methodologies.Ĥ9 studies met the inclusion criteria. Published studies available on PsychInfo, Scopus and Medline as at April 2018 were included in the review. This review synthesises studies of hazard perception tests in order to determine best practice methodologies that discriminate between novice/younger and experienced/older road users.
#Driving hazard perception test simulator driver#
Road traffic authorities have recognised the importance of hazard perception skills, with the inclusion of a hazard perception test in most Graduated Driver Licensing (GDL) systems. Novice and younger road users are typically poorer at hazard perception than experienced and older road users. Poor hazard perception, or the ability to anticipate potentially dangerous road and traffic situations, has been linked to an increased crash risk.
