Abstract：To simulate the manipulation characteristics of real driver under the driver-vehicle-road closed-loop system, the adaptive preview time model for intelligent vehicle driver was proposed. The intelligent vehicle driver model was established based on preview-follower theory and preview optimized driver model, and the effects of road environment and vehicle driving state on preview time of intelligent vehicle driver model were analyzed. The basic preview time and the compensation preview time were used to reflect the influence of different factors on driver visual behavior. Combining the basic preview time and the compensation preview time, the adaptive preview time model was established based on BP neural network. On the Carsim/Simulink joint simulation platform, the adaptive preview time intelligent vehicle driver model was designed, and the simulation and analysis were carried out for normal driving and aggressive driving. The simulation results show that the proposed adaptive preview time model can effectively improve the path tracking effect of intelligent vehicle driver model.
2018, Vol. 39 
