The use of a homogeneity measure to identify hazard perception abilities of novices and experienced drivers in a driving simulator

Abstract

Comparisons between young-novice and experienced drivers are beneficial for the development of both testing and training methodologies for young-novice drivers. Simulators are essential tools of driver assessment especially for novices. One way to look at the differences between driver groups is by examination of performance with regard to specific events. In addition, overall examination of performance across scenarios is important as it shows general patterns of behavior rather than specific ones. The common method to do so is by looking at the average of certain driving related measures or their variability. Using data derived from two hazard perception test (HPT) experiments in a driving simulator, we demonstrate how the use of a group homogeneity measure is more sensitive than the former two. Altogether, we demonstrate that consistently and regardless of road environment, experienced drivers manage their speed in a more homogenous way while novices act as inconsistent individuals.