This paper established the framework of the decision-making model system for autonomous vehicles. Based on virtual reality environment modeling technology, the virtual scene was obtained. The driving performance of autonomous vehicles in real environment was simulated with that of the virtual vehicle in virtual environment. It was studied the influence of driver’s aggressiveness on lane-changed performance through considering human factors, and several longitudinal driving modes were classified and discussed. Three-power B spline function was used in this paper to plan path by interpolating characteristics points. The driving framework and the driving models described in this paper serve to address the problem of building more realistic traffic at the microscopic level in driving simulators. The autonomous vehicles based on this system can be used as the vehicles in simulators and help to design traffic or help to verify the performance of vehicles.