A control method of automatic driving imported “Smart Gains” model can bypass the problem caused by high levels of complexity that currently trouble automatic driving control systems. The knowledge generated by a Gaussian process machine learning model with the maximum probability can carry out the closed-loop control of automatic driving with a given trajectory, can solve the nonlinear adjustment problem of the actuators of the automatic driving vehicle, as well as the optimization control problem of the randomness of the control object. This feature can also make the automatic driving vehicle run smoothly, save energy, be comfortable and fast, and achieve automatic driving above Level 4.