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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2002  >  2(2): 63-66
GAO Zhen-hai, GUAN Xin, GUO Kong-hui. Application of preview follower theory and driver model in the research of vehicle intelligent handling[J]. Journal of Traffic and Transportation Engineering, 2002, 2(2): 63-66.
Citation: GAO Zhen-hai, GUAN Xin, GUO Kong-hui. Application of preview follower theory and driver model in the research of vehicle intelligent handling[J]. Journal of Traffic and Transportation Engineering, 2002, 2(2): 63-66.
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Application of preview follower theory and driver model in the research of vehicle intelligent handling

  • 1.

    Institute of Artificial Intelligence and Robotics, Xi′an Jiaotong University, Xi′an 710049, China

  • 2.

    National Key Lab of Automobile Dynamics Simulation, Jilin Universyty, Changchun 130025, China

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  • Author Bio:

    GAO Zhen-hai(1973-), male, Ph.D., lecturer of Jilin University, a post doctor of Xi′an Jiaotong University, engaged in study of intelligent vehicle

  • Received Date: 2001-12-31
  • Publish Date: 2002-06-25
    Abstract
  • Based on the preview follower theory and driver behavior characteristics, the internal coherence between vehicle intelligent handling system and driver handling behavior is indicated that the control characteristic of vehicle intelligent handling system is basically identical with skill driver handling behavoir.With the pattern of driver handling behavior, vehicle intelligent handling system is divided into three modules including information identification, course decision making and performance control, the modules are analyzed in detail, and the simulations of intelligent vehicle direction control are made under some typical road circumstances with system fuzzy decision making theory.Theoretical analysis and the sumulation results show preview follower theory can provide a applicable way to the research of intelligent vehicle, and the driver direction control model based on this theory can be directly used in the research of intelligent vehicle.

     

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