DocumentCode
2949519
Title
Research on Intelligent Driving Behavior Based on Cognitive Science and Scene Simulation
Author
Gao, Xin ; Gao, Li ; Dong, Gang
Author_Institution
Sch. of Mech. & Vehicular Eng., Beijing Inst. of Technol., Beijing, China
fYear
2011
fDate
20-21 Aug. 2011
Firstpage
226
Lastpage
229
Abstract
Driver plays an important role in traffic control system, but negligence, fatigue etc. caused by the driver may give rise to a large number of traffic accidents. Therefore, combining artificial intelligence theory and technology with the road traffic control system, unmanned vehicles can decrease road accidents indeed. This article summarized further research on the processes of driving behaviors for artificial driving and intelligent driving based on cognitive science and scene simulation. First, we built artificial and intelligent driving behavior with information processing, and provided a favorable basis for the advanced achievements of the intelligent vehicles´ control. Second, scene simulation system was established by Creator and Vega Prime. Finally, based on test data, we investigated the features of latitudinal distance and velocity in both driving modes. 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.
Keywords
artificial intelligence; cognitive systems; mobile robots; remotely operated vehicles; road traffic; artificial intelligence theory; cognitive science; creator; intelligent driving behavior; intelligent vehicle control; road traffic control system; scene simulation; unmanned vehicles; vega prime; Artificial intelligence; Information processing; Intelligent vehicles; Mathematical model; Psychology; Roads; Vehicles; cognitive science; driving behavior; intelligent vehicle; scene simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence Science and Information Engineering (ISIE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4577-0960-9
Electronic_ISBN
978-0-7695-4480-9
Type
conf
DOI
10.1109/ISIE.2011.15
Filename
5997421
Link To Document