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Proceedings Paper

Intelligent system for pavement management
Author(s): Jose Remo Ferreira Brega; Manoel Henrique Alba Soria; Joao Fernando Marar; Antonio Carlos Sementille
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Paper Abstract

This paper describes a method for the evaluation of pavement condition through artificial neural networks using the MLP backpropagation technique. Two of the most used procedures for detecting the pavement conditions were applied: the 'overall severity index' and the 'irregularity index.' Tests with the model demonstrated that the simulation with the neural network gives better results than the procedures recommended by the highway officials. This network may also be applied for the construction of a graphic computer environment.

Paper Details

Date Published: 25 March 1998
PDF: 9 pages
Proc. SPIE 3390, Applications and Science of Computational Intelligence, (25 March 1998); doi: 10.1117/12.304849
Show Author Affiliations
Jose Remo Ferreira Brega, Univ. Estadual Paulista (Brazil)
Manoel Henrique Alba Soria, Univ. de Sao Paolo (Brazil)
Joao Fernando Marar, Univ. Estadual Paulista (Brazil)
Antonio Carlos Sementille, Univ. Estadual Paulista (Brazil)


Published in SPIE Proceedings Vol. 3390:
Applications and Science of Computational Intelligence
Steven K. Rogers; David B. Fogel; James C. Bezdek; Bruno Bosacchi, Editor(s)

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