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dc.contributorVirginia Tech. Virginia Tech Transportation Instituteen
dc.contributorUniversity of Louisville. Speed School of Engineeringen
dc.contributorKentucky. Transportation Cabinet. Operations and Pavement Management Branchen
dc.contributorde León Izeppi, Edgaren
dc.contributor.authorXu, Guangyangen
dc.contributor.authorBai, Lihuien
dc.contributor.authorSun, Zhihuien
dc.contributor.authorNowaczyk, Tracyen
dc.contributor.authorShive, Chaden
dc.contributor.authorWilcoxson, Jonen
dc.date.accessioned2015-08-11T18:46:37Zen
dc.date.available2015-08-11T18:46:37Zen
dc.date.issued2015-05-01en
dc.identifier.citationXu, G., Bai, L., Sun, Z., Nowaczyk, T., Shive, C., & Wilcoxson, J. (2015, June). Pavement deterioration prediction model and project selection for Kentucky highways. Paper presented at the 9th International Conference on Managing Pavement Assets, Alexandria, VA. Presentation retrieved from www.apps.vtti.vt.edu/PDFs/icmpa9/session5/Bai.pdfen
dc.identifier.urihttp://hdl.handle.net/10919/56457en
dc.description.abstractPavement deterioration is an important factor in evaluating and prioritizing pavement management and preservation (PMP) projects. The primary goal of this paper is to provide quality predictive functions from multiple linear regression (MLR) models that can be adopted by Kentucky Transportation Cabinet (KYTC). Furthermore, the paper proposes to use a decision analysis procedure, i.e., an analytic hierarchy process (AHP), in developing a composite pavement distress index for KYTC to prioritize and select PMP projects. Such a prioritization of candidate PMP projects is based on 11 different distress indices. Numerical results show that the MLR models provide relatively high R squared values of approximately 0.8. In addition, preliminary study shows that the proposed AHP-based project selection method overcomes the drawback of KYTC's current rating and selection system for overemphasizing the international roughness index (IRI) among all distress indices.en
dc.format.extent13 pagesen
dc.format.mimetypeapplication/pdfen
dc.language.isoen_USen
dc.relation.ispartof9th International Conference on Managing Pavement Assetsen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titlePavement Deterioration Prediction Model and Project Selection for Kentucky Highwaysen
dc.typePresentationen
dc.description.notesPresented during Session 5: Performance Prediction I, moderated by Raja Shekharan, at the 9th International Conference on Managing Pavement Assets (ICMPA9) in Alexandria, VAen
dc.description.notesIncludes conference paper and PowerPoint slides.en
dc.identifier.urlwww.apps.vtti.vt.edu/PDFs/icmpa9/session5/Bai.pdfen
dc.date.accessed2015-07-06en
dc.type.dcmitypeTexten


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