The existing methods cannot accurately output the state of traffic lights at multi moments, which leads to a long average waiting time and a large number of stops in the peak travel period. Therefore, a regional flow control method of peak travel period based on fuzzy algorithm is proposed. Firstly, the multi-scale prediction method was used to predict the flow in peak travel period. Then, a two-level fuzzy controller for the regional coordination of peak travel period was constructed, and the traffic flow information between adjacent intersections and the predicted remaining time period were set as the input of the fuzzy controller. Next, the two-level controller was used to output the green light phase of the next moment, so as to adjust the traffic flow and integration degree between the upstream and downstream of the adjacent intersections in the control sub-region of the peak travel period. Finally, the regional coordinated control of the flow in the peak travel period was realized. The simulation results showed that the proposed method could comprehensively reduce the average waiting time, average driving time, average number of stops and intersection saturation, and better realize the flow control during peak travel period.