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Title: DEVELOPMENT OF AN INTELLIGENT SYSTEM FOR AUTOMATED PAVEMENT EVALUATION
Accession Number: 00621633
Record Type: Component
Availability: Find a library where document is available Abstract: A potential automated pavement evaluation system to address multisensor applications; integrate different types of sensors, techniques, and information; and offer more sophisticated and intelligent processing capabilities for improved pavement management is described. The separate components of this system either now exist in prototype form or are under development. Such a system could automate in real time much of the pavement data acquisition, interpretation, and evaluation process, and capture the experience and judgment of expert pavement engineers in performing condition assessments and identification of appropriate rehabilitation and maintenance strategies. This research is directed toward an innovative, noncontact, intelligent nondestructive evaluation (INDE) system, using a novel artificial intelligence (AI)-based approach that would integrate three AI technologies: computer vision, neural networks, and knowledge-based expert systems, in addition to conventional algorithmic and modeling techniques. The focus of the current, initial research is development of an advanced sensor processing capability using neural network technology to determine the type, severity, and extent of distresses from digitized video image representations of the pavement surface acquired in real time. The properties of neural networks provide potential solutions to the inherently difficult nature of sensor integration and output interpretation in automated pavement evaluation. The background and conceptual development of an INDE system for automated pavement evaluation, and initial research results that demonstrate the feasibility of a neural network approach in a case study application using a multilayer perception and a backpropagation learning rule, are described.
Supplemental Notes: This paper appears in Transportation Research Record No. 1311, Pavement Management: Data Collection, Analysis, and Storage 1991. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
Monograph Title: Pavement management: data collection, analysis, and storage, 1991 Monograph Accession #: 01407160
Authors: Ritchie, Stephen GKaseko, MohamedBavarian, BehnamPagination: p. 112-119
Publication Date: 1991
Serial: ISBN: 0309051509
Features: Figures
(5)
; References
(17)
; Tables
(3)
TRT Terms: Subject Areas: Highways; Pavements; I23: Properties of Road Surfaces
Files: TRIS, TRB, ATRI
Created Date: Apr 30 1992 12:00AM
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