Comparison on driving behavior between manned and unmanned ground vehicles

In order to enhance the traffic road safety, applying the artificial intelligence theory and the technology in road traffic control system, that is intelligent driving vehicle, may effectively decrease traffic accidents, which are caused by drivers´ neglect, fatigue and so on. This article is based on cognitive science to analyze driving behaviors. First, we estimated the Information Processing Model of Intelligent Vehicle. Second, based on prototype pattern recognition theory, we also built Pattern Recognition Model of Intelligent Driving Behavior, which provided the advantageous basis for the further research on intelligent vehicle. Third, virtual scene simulation system was established by using Creator and Vega Prime. Finally, according to test data, we investigated the features of speed and latitudinal distance in both artificial and intelligent U-Turn driving behavior. Our results describe that the intelligent vehicle does have the ability of cognizance, and it can make correct reactions corresponding to the driving environment, but its intelligence still needs improving.