Research On Variable Structure Combined Traffic Flow Forecast Based On Intersection Correlation

With the rapid development of intelligent transportation system,the intelligent transportation of real-time,accurate and efficient control peremptory has become an important part of intelligent transportation system.Traffic flow prediction as the basis of intelligent transportation system can be induced traffic,road congestion warning and provide effective reference data for the selection of the optimal path.Forecasting accuracy directly affect the traffic management and control results.At the same time,as a result of the existence of road congestion phenomenon,choose a suitable driving path,save driving time also appears especially important.Car navigation becomes more and more popular at present,but it does not choose the time-consuming of the shortest path for human intelligence,therefore,provide optimal moving path traffic induction is of great significance.In view of improving the accuracy and accuracy of short-term traffic flow forecasting model,this paper first prepares the collected original traffic flow,upon completion of the original traffic flow data normalization,simplicity,correction and completion,on the basis of wavelet analysis,the traffic flow sequence signal is decomposed into low frequency sequence signal and high frequency sequence signal.And then according to the Kalman filter model in dealing with the advantages of smooth data on the original traffic flow of low-frequency sequence signals to predict,the high dynamic nonlinear mapping of RBF neural network predicts the high frequency sequence signal,and establishes a variable structure type combined traffic flow forecasting model,the prediction results are obtained and the prediction error is analyzed.Finally,on the basis of the forecasting results and the analysis of the data processing algorithms of the vehicle navigation system,using Vissim traffic control software assignment in the simulation road network,Floyd algorithm is used to select the path based on time weight,combined with the predictive algorithm of variable structure combined traffic flow forecasting model,use VS(Microsoft Visual Studio)for software development.