Urban traffic flow forecasting through statistical and neural network bagging ensemble hybrid modeling

Author:

Moretti Fabio,Pizzuti Stefano,Panzieri Stefano,Annunziato Mauro

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference21 articles.

1. Erel Avineri, Soft computing applications in traffic and transport systems: a review, in: Soft Computing: Methodologies and Applications, Springer, Berlin, Heidelberg, 2005, pp. 17–25.

2. The Nandbook of Brain Theory and Neural Nnetworks;Arbib,1995

3. S. Haykin, Neural Networks, A Comprehensive Foundation, second ed., Prentice Hall, New Jersey, 1995.

4. D. Canca, J. Larrañeta, S. Lozano, L. Onieva, Traffic intensity forecast in urban networks using a multilayer perceptron, in: Joint International Meeting, Barcelona, 1997.

5. M.S. Dougherty, M. Cobbett, Short term inter-urban traffic forecasts using neural networks, in: Proceedings of the Second DRIVE-II Workshop on Short-Term Traffic Forecasting, Delft, The Netherlands, 1994, pp. 65–79.

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