An intelligent system for pavement management
Loading...
Files
External sources
External sources
Date
Advisor
Coadvisor
Graduate program
Undergraduate course
Journal Title
Journal ISSN
Volume Title
Publisher
Spie - Int Soc Optical Engineering
Type
Work presented at event
Access right
Acesso aberto
Files
External sources
External sources
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.
Description
Keywords
intelligent system, artificial neural networks, pavement management system
Language
English
Citation
Applications and Science of Computational Intelligence. Bellingham: Spie-int Soc Optical Engineering, v. 3390, p. 603-611, 1998.
