Urban Traffic Flow Analysis Algorithm Based On Deep Learning

With the rapid increase number of urban vehicles,serious traffic problems come up in most cities.In order to improve the traffic conditions,it is proposed that the combination of short-term traffic flow forecasting based on depth learning and road network traffic efficiency.The traffic efficiency of traffic network was selected as a quantitative indicator to analyze the traffic flow of vehicles.This indicator is a quantitative indicator for analyzing the traffic conditions of the global road network.Compared with the traffic efficiency of a single intersection,the analysis is more comprehensive,and the traffic efficiency of the entire road network can be changed by adjusting the intersections in the road network.The method proposed in this paper combines the advantages of strong plasticity of the depth learning algorithm with the efficiency of the road network to analyze the traffic flow of the road network.First of all,the database is built with real data,simulating the traffic flow control results,and provided for in-depth training.Secondly,based on the Tensorflow deep learning framework,a deep learning model for predicting short-term traffic flow is constructed.Then,multiple Traffic road network model composed of intersections and multiple road sections is created to calculate traffic efficiency,The result can be used as a quantitative indicator.Finally,the data is divided into two parts,one is used for the training of the traffic flow prediction model based on deep learning,and the other is used for the model predict verification to obtain a reliable model,and then by adjusting the impact factor,that is,changing the red-green ratio,the left turn separation and the number of lanes to make different group predictions,and acquire the traffic efficiency.And the most most effective traffic condition is the optimal condition.The simulation results show that the combination of short-term traffic flow forecasting based on depth learning and road network traffic efficiency improves the vehicle traffic efficiency in the road network,which has important theoretical significance and engineering value for optimizing traffic conditions.