The Research On Technology Of Traffic Flow Monitoring And Short-Time Prediction In City Road

For traffic flow monitoring and guidance system, traffic flow state identification and traffic flow forecasting are one of the most critical component of it. The quality of the performance of these subsystems is directly related to the accuracy and effectiveness of it. Therefore, based on the ITS technology, the study of these two parts is of great practical significance.The article firstly analyzes the main features of traffic flow parameters, and the method of monitoring of various parameters. On this basis, several difficulties and the solutions in monitoring of traffic flow information are discussed. Later on, based on the analysis of the identification of the state of traffic flow and traffic flow forecasting techniques, a detailed study of support vector machine based traffic state recognition technology and traffic flow forecasting technology has been done. The traffic flow system framework of state identification, data processing, traffic flow short-term forecasting system framework, data processing methods were studied and cites examples to validate analysis. Article found that support vector machine in the classification of the small sample size performs well and has high precision in reasonable parameters. While the application of the regression, as the sample data quality, accuracy changes, but the work still can be done under a certain accuracy of data fitting.The results show that support vector machine has actual value in the recognition technology in the state of traffic flow and traffic flow short term forecasting techniques. Its accuracy, precision and generalization ability meet the certain requirements, the results are credible and effective. Application of support vector machine control system of traffic flow is not only theoretically possible, but also can be generalized in reality.