Pavement Deterioration Prediction Model and Project Selection for Kentucky Highways
| dc.contributor | Virginia Tech Transportation Institute | en |
| dc.contributor | University of Louisville. Speed School of Engineering | en |
| dc.contributor | Kentucky. Transportation Cabinet. Operations and Pavement Management Branch | en |
| dc.contributor | de León Izeppi, Edgar | en |
| dc.contributor.author | Xu, Guangyang | en |
| dc.contributor.author | Bai, Lihui | en |
| dc.contributor.author | Sun, Zhihui | en |
| dc.contributor.author | Nowaczyk, Tracy | en |
| dc.contributor.author | Shive, Chad | en |
| dc.contributor.author | Wilcoxson, Jon | en |
| dc.date.accessed | 2015-07-06 | en |
| dc.date.accessioned | 2015-08-11T18:46:37Z | en |
| dc.date.available | 2015-08-11T18:46:37Z | en |
| dc.date.issued | 2015-05-01 | en |
| dc.description.abstract | Pavement 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.description.notes | Presented during Session 5: Performance Prediction I, moderated by Raja Shekharan, at the 9th International Conference on Managing Pavement Assets (ICMPA9) in Alexandria, VA | en |
| dc.description.notes | Includes conference paper and PowerPoint slides. | en |
| dc.format.extent | 13 pages | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Xu, 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.pdf | en |
| dc.identifier.uri | http://hdl.handle.net/10919/56457 | en |
| dc.identifier.url | www.apps.vtti.vt.edu/PDFs/icmpa9/session5/Bai.pdf | en |
| dc.language.iso | en_US | en |
| dc.relation.ispartof | 9th International Conference on Managing Pavement Assets | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.title | Pavement Deterioration Prediction Model and Project Selection for Kentucky Highways | en |
| dc.type | Presentation | en |
| dc.type.dcmitype | Text | en |