Creating a suitable driver model is one of the most important parts in the closed-loop system of driver-vehicle-road.Several kinds of driver models have been created based on the traditional control theories such as transfer function,optimization control and the compensation control.But owing to the driver's characteristics of nonlinear and time-variable,it's difficult for those proposed driver models to mimic drivers' action.While accounting for the inherent manual control characteristics and limitations of the mankind,the intelligent control methods have been applied in creating driver models based on the fuzzy control,neural networks control and fuzzy-neural networks control theory.