Capturing Driver Status Using Naturalistic Driving Study Data: Implications for Assessing Health and Safety
Event Type
TimeWednesday, October 12th4:30pm - 5:30pm EDT
LocationPoster Gallery
DescriptionThe design of advanced driver-assistance systems (ADASs) and driving monitoring systems can be improved with a better understanding of on-road driving behavior. Information on traffic environment, health, engagement in secondary task and corresponding eye glance locations can provide important insights on driver's in-vehicle movements and status. This study examines the in-vehicle head movement of driver and the factors affecting it using data from a naturalistic driving study. Linear mixed models were used to examine head position at a given point in time, and a hierarchical clustering with dynamic time warping (DTW) was used to examine the trajectories of the head position. The findings show that some health conditions (e.g, limited flexibility, cancer) were correlated to restrictive head position during driving and both vehicle acceleration and traffic environment factors were contributing factors to the variation in head positions