Abstract: A sixlayered neurofuzzy network controller was designed to control the directional movement of vehicles. The organization and the function of neurons in every layer of the networks was introduced, and its learning algorithm was given. The controller gets the feel of the vehicle moving characteristics, and adjusts itself to varying environment and different vehicles. The neurofuzzy control model possesses strong adaptability, very wide scope of application, and a certain degree of intelligence.