Intelligent system for pavement management

Jose Remo Ferreira Brega; Manoel Henrique Alba Soria; Joao Fernando Marar; Antonio Carlos Sementille

doi:10.1117/12.304849

25 March 1998 Intelligent system for pavement management

Jose Remo Ferreira Brega, Manoel Henrique Alba Soria, Joao Fernando Marar, Antonio Carlos Sementille

Proceedings Volume 3390, Applications and Science of Computational Intelligence; (1998) https://doi.org/10.1117/12.304849
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Jose Remo Ferreira Brega, Manoel Henrique Alba Soria, Joao Fernando Marar, and Antonio Carlos Sementille "Intelligent system for pavement management", Proc. SPIE 3390, Applications and Science of Computational Intelligence, (25 March 1998); https://doi.org/10.1117/12.304849

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