Short-Term Traffic Flow Prediction Based on Lagrange Support Vector Regression

In intelligent transportation system(ITS),the accurate prediction of real-time traffic flow is one of keys to traffic control and traffic guidance,and its prediction results will have direct effect on traffic control and traffic guidance.Based on Support Vector Machine(SVM),a short-term traffic flow prediction model using Lagrange support vector regression(LSVR) was proposed,which could efficiently predict traffic flow.The simulation results show that LSVR has better generalization ability,quicker iterative speed,and better prediction effects than improved BP neural networks.