| Article ID: | iaor20021300 |
| Country: | China |
| Volume: | 20 |
| Issue: | 12 |
| Start Page Number: | 51 |
| End Page Number: | 56 |
| Publication Date: | Dec 2000 |
| Journal: | Systems Engineering Theory & Practice |
| Authors: | Ma Shoufeng, He Guoguang, Li Yu |
| Keywords: | forecasting: applications |
In this paper, the evolution of traffic flow forecasting methods is summarised firstly, three short-term traffic flow forecasting methods based upon concrete mathematical models are introduced emphatically. At the last, an improving approach associated neural network for one of them is presented.