Forecasting Urban Traffic Flow Based on Support Vector Machine Optimized by Genetic Algorithm

In order to gain the excellent SVM forecasting model and realize the accurate forecasting of urban traffic flow, support vector machine optimized by genetic algorithm is presented to forecast urban traffic flow.Genetic algorithm (GA) is introduced to optimize the parameters of support vector machine in this model, which can gain optimized SVM forecasting model.The experimental results indicate that the proposed GA-SVM model has better forecasting accuracy than artificial neural networks.