An intelligent system for pavement management

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Data

1998-01-01

Autores

Brega, JRF
Soria, MHA
Marar, João Fernando [UNESP]
Sementille, Antonio Carlos [UNESP]

Título da Revista

ISSN da Revista

Título de Volume

Editor

Spie - Int Soc Optical Engineering

Resumo

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.

Descrição

Palavras-chave

intelligent system, artificial neural networks, pavement management system

Como citar

Applications and Science of Computational Intelligence. Bellingham: Spie-int Soc Optical Engineering, v. 3390, p. 603-611, 1998.