In order to meet the needs of large-scale traffic control and traffic flow guidance coordination under the background of urban expansion, a regional traffic flow coordination control scheme is proposed by using agent and fuzzy control method. Firstly, the basic structure of Agent in intelligent traffic control is analyzed, and on this basis, an intelligent decision support system model for traffic flow prediction is established. Then, aiming at the shortcomings of agent in micro traffic simulation, it is proposed to combine other cellular automata for modeling. The fuzzy control strategy is applied to design the coordination controller for the execution strategy of the decision-making unit. The simulation results in MATLAB environment prove the effectiveness of the intelligent vehicle flow coordination control model, which can carefully describe the characteristics of traffic flow and the micro behavior of traffic entities.