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. 6 1.3 ARMAX driver model proposed by Chen and Ulsoy [18, 16] 8 2.1 Testing vehicle: 2000 Ford Taurus Sedan 17 ... 35 3.7 Speed classification for a randomly selected subject 36 4.1 Diagram of driver model in closed- loop operation 43anbsp;...
|Title||:||Real Time Human Driver Identification for Improved Safety|
|Publisher||:||ProQuest - 2008|