ABSTRACT

Novice drivers are seen as the most vulnerable group of road users in many countries (Boccara, Delhomme, Vida-Gomel, and Rogalski, 2011; Mynttinen et al., 2009b). Research has shown that the first year after licensing presents the highest risk of being involved in a motor vehicle crash (MVC) (Sadauskas, 2006; de Winter, 2013). The identification of at risk learner drivers is crucial if they are to be targeted for interventions aimed at reducing their crash risk. However, the identification of future safe and crash-prone drivers prior to licensing remains problematic.