Pavement Maintenance Planning at the Network Level with Principal Component Analysis
Publication: Journal of Infrastructure Systems
Volume 20, Issue 2
Abstract
Pavement management relies on the evaluation of the condition of pavement at different times during the life of the structure. The combination of condition indicators and the knowledge of how they are used in any pavement condition model is fundamental for pavement rating. To handle complexity and information redundancy, this paper proposes the principal-component analysis (PCA) to evaluate the relative importance of different types of distresses on the condition assessment for flexible pavements, and to use relevant condition features to establish criteria for pavement management. The important outcomes in applying the PCA approach were: even with the dimensionality reduction dictated by the variance, there was limited loss of information with regard to the section condition that did not affect the overall objective of pavement management; also, information redundancy was minimized.
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Acknowledgments
Permission to publish was granted by Director, Geotechnical & Structures Laboratory of the U.S. Army Engineer Research and Development Center.
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Information & Authors
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Published In
Journal of Infrastructure Systems
Volume 20 • Issue 2 • June 2014
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Oct 22, 2012
Accepted: Aug 16, 2013
Published online: Dec 27, 2013
Discussion open until: May 27, 2014
Published in print: Jun 1, 2014
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