Short-term Traffic Forecast Based on WD and SVM

According to the equivalence of traffic forecasting and function estimating and approaching,the essay puts forward a method of short-term traffic forecasting which is based upon wave decompounding and support vector regress.The method first analyses the wave decompound traffic data,sets up support vector machine model separately on basic signals and disturbing signals of different resolving rate,then compounds several forecasting results,finally the traffic forecasting result is obtained.With examples,the result shows that the model has relatively lower error rate and quite reliable.