• 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