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The forecast of traffic flow is the core issue of intelligent traffic control.Using electronic license plate recognition method to count vehicles, according to the principle of mathematical statistics to filter the sample data that has the greatest impact on decision intersections, establish a NARX dynamic neural network prediction model,training the time series data of road traffic at multiple intersections to predict the number of vehicles in the same period of the next day. Calculate the total time difference between the two directions and redistribute them in the morning and evening rush hou,and experiment to get the ideal phenomenonr;Real-time timing and emergency plans are initiated under severe congestion.Selecting the intersection of Jinsha River Road and Zhongshan North Road as the center,which are always congested in Changning District of Shanghai, using MATLAB to simulate, and the difference between the predicted data and the actual value was smaller.It verifies that the innovative design of a single intersection predicted by multi-road data can be applied in actual traffic and can cooperate with real-time time-planning solutions to alleviate traffic congestion.