Among all of the possible causes of vehicular accidents, human error has been suggested most often as the primary factor responsible for crashes. In this dissertation, we investigate driver model identification with the ultimate goal of enhancing driving safety. Experiments were conducted in 2005, and data on 21 test subjects was collected.Real world data can also effectively address many other problems encountered using simulators. For example, the fidelity of most ... The testing vehicle is a 2000 Ford Taurus Sedan with CA license #1046993. We show 16 Testing Vehicle.
|Title||:||Real Time Human Driver Identification for Improved Safety|
|Publisher||:||ProQuest - 2008|