Development of Piecewise Linear Performance Models for Flexible Pavements Using PMS Data
Publication: Journal of Performance of Constructed Facilities
Volume 29, Issue 6
Abstract
This study presents a method to develop piecewise linear (PL) performance models for pavement condition data in a pavement management system (PMS). These condition data are usually ordinal and have more than two severity levels. Ordinal logistic regression is conducted to derive probabilities of each individual severity level. The intersections of probability curves are identified as the breakpoints, which can be used to develop PL models. This proposed method was then applied successfully to develop four PL models, for interstates, U.S. routes, North Carolina routes, and secondary routes, using transverse cracking condition data of flexible pavements in a state DOT’s PMS. Results showed that the PL models reflected actual deterioration trends well and that the proposed method is robust.
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Acknowledgments
The authors gratefully acknowledge the support and assistant from the Pavement Management Unit (PMU) at the North Carolina Department of Transportation (NCDOT). This research was supported by NCDOT, however, any opinions, findings, and conclusions presented in this paper are those of the authors and do not necessarily reflect the official views of the sponsor.
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Published In
Journal of Performance of Constructed Facilities
Volume 29 • Issue 6 • December 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Jan 27, 2014
Accepted: Jun 25, 2014
Published online: Sep 17, 2014
Discussion open until: Feb 17, 2015
Published in print: Dec 1, 2015
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