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.