Driver Distraction: Behavioural Markers for Performance Impairment in Naturalistic Driving
Chen-Ning (Jonny) Kuo
10.4225/03/5872bf46121d0
https://bridges.monash.edu/articles/thesis/Driver_Distraction_Behavioural_Markers_for_Performance_Impairment_in_Naturalistic_Driving/4530563
There is substantial
evidence that drivers frequently divert their attention away from tasks
necessary for safe driving towards competing secondary behaviours (Johnson et
al., 2011; Klauer, Dingus, Neale, Sudweeks, & Ramsey, 2006; Koppel,
Charlton, Kopinathan, & Taranto, 2011). Referred to as ‘driver
distraction’, these behaviours are estimated to account for around 23 percent
of all crashes and near-crashes (Klauer et al., 2006). However, only a few
studies have specifically examined distraction in the context of parents and
child passengers (Koppel et al., 2011; Stutts et al., 2005). This PhD project
explored the relationship between child passenger behaviours, driver
distraction, and driving performance. This involved a Melbourne-based
naturalistic driving study (NDS) conducted with parent drivers and their
families, and the development and validation of new tools to more effectively
analyse NDS data. These tools were used to study behavioural markers of driver
distraction and to quantify magnitude and the potential effects on driving
performance. The exploration of the antecedents and consequences of distraction
provided new insights that will go on to inform the development of educational,
technological and legislative countermeasures in the prevention of
distraction-caused, crash-related injuries and fatalities
2017-01-10 01:44:25
Naturalistic driving study
Driver distraction
Machine learning
Computer vision
Child passengers