Quality Management of Pavement Condition Data Collection (2009) / Chapter Skim
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Pages 43-50
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Quality Acceptance Quality acceptance is done by a quality assurance auditor, who is not the equipment operator. This process verifies that the data collection and quality control processes have been conducted properly.
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Data Trend Monitoring MDSHA uses the percentage of the network in acceptable condition -- called acceptable rate -- to monitor the network-level pavement condition. A software program summarizes the acceptable rates in terms of IRI, rutting, cracking, and friction individually by route, county, district, or statewide.
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(96) presents some interesting approaches for comparing time-history pavement condition data.
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Initial Calibration The calibration of the service provider's longitudinal profile, transverse profile, and pavement distress measurement processes was done using 13 known-location control sections. The control sites varied in length, smoothness, and distress 46 conditions.
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started implementing a PMS, quality pavement condition data were identified as a key component. The agency recognized the importance of checking the quality of data before they are used for important management decisions and has implemented detailed quality control and acceptance processes.
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The Manual's rating methodology was designed to be applicable to both automated and manual surveys so that it can be used for network- and project-level analysis. The surveys and data post-processing are guided by quality management procedures to ensure that the data are collected accurately and repeatedly from year to year.
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The rut depth measurements must have an accuracy of ±3 mm of manual survey, and a repeatability of ±3 mm standard deviation for five runs. Production Survey Quality Acceptance During production surveys, quality acceptance is primarily done using blind sites situated along various highways in each region.
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It highlights two interesting approaches for comparing time-history pavement condition data and presents an example of a service provider-supplied quality control process that includes an independent validation and verification. Among other criteria, the acceptance plan requires that 95% of the data checked fall within plus or minus 10 index points of the data collected by a third-party validation and verification rater.
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