Vessel Traffic Flow Forecasting Model Study Based on Support Vector Machine

Based on vessel traffic flow data and Support Vector Machine theory, SVM regression model for short-term vessel traffic flow forecasting was presented. The forecasted vessel traffic flow and abserved ones, which by SVM regression model, coincide properly, and the forecasting results show that mean absolute percentage error of forecasting are smaller than that by SPSS regress model, which validates the feasibility of SVM regression model in the vessel traffic flow forecasting.