Show simple item record

dc.contributorVirginia Tech. Virginia Tech Transportation Instituteen_US
dc.contributorCalifornia. Metropolitan Transportation Commissionen_US
dc.contributorCalifornia State University, Chico. California Pavement Preservation Centeren_US
dc.contributorCalifornia State University, Chico. Department of Civil Engineeringen_US
dc.contributor.authorTan, Sui G.en_US
dc.contributor.authorCheng, DingXinen_US
dc.date.accessioned2015-08-11T18:46:34Z
dc.date.available2015-08-11T18:46:34Z
dc.date.issued2015-05-20en_US
dc.identifier.citationTan, S. G., & Cheng, D. (2015, June). Improving data quality for pavement management system. Paper presented at the 9th International Conference on Managing Pavement Assets, Alexandria, VA. Presentation retrieved from www.apps.vtti.vt.edu/PDFs/icmpa9/session15/Tan-Cheng.pdfen_US
dc.identifier.urihttp://hdl.handle.net/10919/56440
dc.description.abstractThe Metropolitan Transportation Commission (MTC) has developed a pavement management StreetSaver program with more than 400 users in the United States. MTC uses the program to evaluate street and road condition and perform maintenance needs assessments for the 109 cities and counties in the San Francisco Bay Area. Quality pavement condition survey data is a critical component of a pavement management system. MTC has augmented a new quality acceptance (QA) program as part of its Quality Data Management Plan in 2013. The QA program is geared toward making sure consultants hired by MTC for data collection can provide quality data in a consistent manner. The objectives of the QA program are to provide consistent pavement distress identification, improve data quality, avoid untrained pavement condition raters, while providing industry standards and accountability. The QA program contains a Rater Certification Program that ensures good quality data by using certified and trained technicians for the PMS; hiring a third party and neutral institution to audit the contractors' quality control plan; and verifying the data collected by consultants and checking data collected against pavement deterioration models and curves used in the PMS database. The process provides feedback to the consultants' quality control plans and significantly improved the quality of the PMS data collected. The MTC's data quality assurance experience is expected to benefit other agencies that are using any pavement management systems.en_US
dc.format.extent10 pagesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.relation.ispartof9th International Conference on Managing Pavement Assetsen_US
dc.subjectPavement condition surveyen_US
dc.subjectQuality data acceptanceen_US
dc.subjectPavement management systemsen_US
dc.titleImproving Data Quality for Pavement Management Systemen_US
dc.typePresentationen_US
dc.description.notesPresented during Session 15: Data Quality and Accountability, moderated by Linda Pierce, 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/session15/Tan-Cheng.pdfen_US
dc.date.accessed2015-07-07en_US
dc.type.dcmitypeTexten_US


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record