Driving simulators provide researchers with a flexible, controllable, safe, and economical tool for a range of applications. A pivotal aspect in the application of driving simulators is the development of measures aimed at describing the behavior and performance of the driver and providing knowledge about the way drivers are controlling their vehicle, which ultimately will benefit road safety. The driver performance is traditionally described by measures of (simulated) vehicle data and measures of subjective evaluations. This thesis provides additional measures of visual attention and driver physiology aimed at describing the driver behavior. Frequently, these measures are analyzed in isolation of the driver and vehicle performance. This thesis aims to derive relationships between concurrently recorded eye-movement and driver behavior variables in closed-loop driving tasks.
|Award date||8 Jan 2019|
|Publication status||Published - 2019|