Abstract: From the viewpoint of macro and dynamic character is tics of urban freeway traffic flow,a commonly used macroscopic,dynamic and deterministic traffic flow model for traffic control is developed.Furthermore,the neural network model for urban freeway traffic flows,and the urban freeway multi-variable neural control strategy with both the on-ramps control and the road speeds control are also presented simultaneously.The developed adaptive neura l controller is used to control the traffic density and force it to follow a desired one.This control strategy is a servo system of which the states and the control effect can be followed.Finally computer simulation on Hangzhou urban free way shows that the controller is robust and the result is satisfactory.