Name
Title | ||
|---|---|---|
Urban traffic flow forecasting through statistical and neural network bagging ensemble hybrid modeling |
Abstract | ||
|---|---|---|
In this paper we show a hybrid modeling approach which combines Artificial Neural Networks and a simple statistical approach in order to provide a one hour forecast of urban traffic flow rates. Experimentation has been carried out on three different classes of real streets and results show that the proposed approach outperforms the best of the methods it puts together. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.neucom.2014.08.100 | Neurocomputing |
Keywords | Field | DocType |
Traffic flow forecasting,Ensembling,Bagging,Neural networks | Traffic flow,Artificial intelligence,Artificial neural network,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
167 | C | 0925-2312 |
Citations | PageRank | References |
31 | 1.33 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabio Moretti | 1 | 36 | 3.05 |
| Stefano Pizzuti | 2 | 53 | 8.00 |
| S. Panzieri | 3 | 110 | 13.09 |
| Mauro Annunziato | 4 | 41 | 5.09 |