Intelligent Traffic Flow Control Based on Multi Node Bilateral Control Model in Closed Congested Road Scenarios

With the increase of urban population and the popularization of transportation, traffic flow control has become a key issue in urban traffic management. This requires researching a new intelligent traffic flow control method to improve the efficiency and sustainability of the transportation system. Based on this, this study proposes an intelligent traffic flow control method based on a multi node bilateral control model. This method adopts Kalman filter algorithm to intelligently regulate intersection flow, considering the mutual influence between multiple nodes, and optimizing traffic flow through coordinate the traffic flow on both sides of the road intersection. The results showed that the research model performed the best in various scenarios, with a minimum distance between vehicles close to 37.5 m. After adding the generated data to the training set and retraining the research model using the proposed model, the accuracy on the test set was 84.7%, and the pedestrian recognition accuracy was about 80%. The multi-node bilateral control model can effectively improve the traffic problems of urban roads, reduce people's travel cost, improve people's travel experience, and promote the economic development of urban roads.