A combination forecasting model of highway passenger transportation volume based on IWOGA

Passenger traffic volume forecast is a necessary part of road network planning and basis of calculating highway cost-effective. In order to improve prediction accuracy of highway passenger transportation volume, the paper uses IOWGA operator to combine three exponential smoothing model, GM (1, 1) forecast model and BP neural network to establish a combination forecasting model on the basis of existing passenger volume forecasting models. Then the paper takes historical highway passenger volume of China for example to verify the accuracy of the predictions. According to the compared calculation, it can be obtained that the combination model gets the smaller error and better prediction accuracy, so that the model can be used as an effective method of forecasting highway passenger volume.