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dc.contributorVirginia Tech. Virginia Tech Transportation Instituteen_US
dc.contributorApplied Research Associatesen_US
dc.contributorUnited States. Federal Highway Administration. Office of Asset Managementen_US
dc.contributorNingyuan, Lien_US
dc.contributor.authorSteele, Douglas A.en_US
dc.contributor.authorBeckemeyer, Curt A.en_US
dc.contributor.authorVan, Thomas P.en_US
dc.date.accessioned2015-08-11T18:46:33Z
dc.date.available2015-08-11T18:46:33Z
dc.date.issued2015-06-04en_US
dc.identifier.citationSteele, D. A., Beckemeyer, C. A., & Van, T. P. (2015, June). Optimizing highway funds by integrating RWD data into pavement management decision making. Paper presented at the 9th International Conference on Managing Pavement Assets, Alexandria, VA. Presentation retrieved from www.apps.vtti.vt.edu/PDFs/icmpa9/session10/Steele.pdfen_US
dc.identifier.urihttp://hdl.handle.net/10919/56436
dc.description.abstractPavement structural response is an important indicator of pavement structural capacity, which influences performance measures, such as cracking. Traditionally, pavement management systems have tracked performance using condition indices based on visual distress; however, condition indices based on surface conditions only do not provide a measure of pavement structural response, and therefore, an estimate of pavement structural capacity. The Rolling Wheel Deflectometer (RWD) is an innovative device that efficiently collects network-level pavement structural response produced by an18-kip single axle semi-trailer load traveling at normal highway speeds. This makes the RWD highly productive and eliminates the need for lane closures, which increases the safety and mobility of the traveling public. Applied Research Associates, Inc. (ARA) collaborated with the Oklahoma Department of Transportation (ODOT) to study the potential benefit of integrating RWD data in their pavement management process. The study included RWD data collection on over 1,000 miles of ODOT highways, processing to determine representative pavement deflections for each Pavement Management System (PMS) section, incorporation of structural index in their decision tree, and generation of rehabilitation plans with and without the structural index to evaluate their effect on management decisions and the optimization of highway funds. The results showed a significant cost savings when incorporating the RWD-based structural index, primarily due to the use of more cost-effective pavement preservation techniques on pavement sections with good structural response (i.e., low deflections). In addition, the strategy incorporating the RWD-based structural index made better use of funding by delaying treatment on roads with poor structural response until pavement rehabilitation was a cost-effective option.en_US
dc.description.sponsorshipOklahoma. Department of Transportationen_US
dc.format.extent19 pagesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.relation.ispartof9th International Conference on Managing Pavement Assetsen_US
dc.titleOptimizing Highway Funds by Integrating RWD Data into Pavement Management Decision Makingen_US
dc.title.alternativeOptimizing Highway Funds by Integrating RWD Data into PMS Decision Makingen_US
dc.typePresentationen_US
dc.description.notesPresented during Session 10: Structural Evaluation, moderated by Peter Kadar, at the 9th International Conference on Managing Pavement Assets (ICMPA9) in Alexandria, VA.en_US
dc.description.notesIncludes conference paper and PowerPoint slides.en_US
dc.identifier.urlwww.apps.vtti.vt.edu/PDFs/icmpa9/session10/Steele.pdfen_US
dc.date.accessed2015-07-06en_US
dc.type.dcmitypeTexten_US


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