Quality Management of Pavement Condition Data Collection (2009) / Chapter Skim
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Pages 43-50
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From page 43... ...
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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From page 44... ...
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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From page 45... ...
Most significantly, VDOT defined the following vision statement for data collection "to collect pavement condition data with sufficient detail and accuracy to model deterioration and perform multiyear planning with the PMS. Data variability for each data element must be smaller than the year-to-year change in that element." The study also prompted the agency to require the calibration of smoothness measuring equipment against a reference device and its verification against VDOT equipment, and pilot testing of a sub-network during the data collection contract inception phase.
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From page 46... ...
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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From page 47... ...
• Additional data quality assurance checks of every data element in the pavement condition database. After 3 years of consistently instituting more checks, the agency developed an automated procedure to rapidly and efficiently check the data delivered by the service provider.
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From page 48... ...
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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From page 49... ...
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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From page 50... ...
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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