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  HomeContents of Chinese Journal of Mechanical Engineering 2003 No.1PREVIEW OPTIMIZED ARTIFICIAL NEURAL NETWORK DRIVER MODEL
PREVIEW OPTIMIZED ARTIFICIAL NEURAL

 NETWORK DRIVER MODEL

   

Guo Konghui   Pan Feng

(Jilin University)

Ma Fengjun

(No.15 Research Institute, CALT)

 

Abstract: A preview optimized artificial neural network (POANN) driver model based on the preview-follower theory with considering the driver’s target and his physical restriction are studied. Simulation is taken to study the driver’s direction control behavior using 2-DOF vehicle models. The simulating results indicate that POANN driver model is a simple controller that represents the regular driver’s behavior and can be used to simulate driver-vehicle close loop system and control of intelligent vehicle, such as autonomous driving.

Key words: Preview optimized  Artificial neural network  Driver model  Close-loop simulation

CLC No: U461.6

国家自然科学基金资助项目(59975041). Received 20011226, received in revised form 20020624

 
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