Road Traffic Freight Volume Forecasting Using Support Vector Machine

The grey system forecasting model, neural network forecasting model and support vector machine forecasting model are proposed in this paper. Taking the road goods traffic volume from year of 1996 to 2003 in the whole country as a study case, the forecasting results are got by three methods. Compared with grey system forecasting model and neural network forecasting model, the accuracy of the support vector machine combining forecasting method is higher.