Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
406264 | Neurocomputing | 2015 | 5 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Fabio Moretti, Stefano Pizzuti, Stefano Panzieri, Mauro Annunziato,