Abstract: This paper presents an innovative method for designing and implementing automatic vehicle control system for intelligent vehicles using neuro-fuzzy network. The basic design and implementation procedure is as following: 1) Describing driving behaviors of a human driver under various situations using fuzzy logic-based rules; 2) Improving the driving performance using a neural networks specifically conduction according to the fuzzy driving rules (this type of neural networks are called neuro-fuzzy networks, and can be used to refine the input/output membership functions and fuzzy reasoning operators); 3) Implementing the fuzzy driving rules in the driving control hardware, and the neuro-fuzzy networks in the host control computer. In this way, the low cost control implementation and sophisticated refinement and learning capability can be achieved effectively. The proposed method can be utilized for individually automatic driving for intelligent vehicles. Experimental studies used VISTA vehicles had been conducted to verify the suggested advantages.