Quality Management of Pavement Condition Data Collection (2009) / Chapter Skim
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Pages 51-54
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The main findings concerning the state of the practice and knowledge of quality management of pavement condition data are the following: 1. Data Quality Requirements: Data collection practices and quality management processes may be tailored to the use of the data and the level of decisions being supported.
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verification and validation of the pavement condition data by an independent quality auditor (4% for quality control and 12% for quality acceptance) , and • Use of blind site monitoring during the production quality acceptance process (24% for quality control and 21% for quality acceptance)
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From page 53... ...
It applies to the pavement condition data collected by the agency and by service providers. Approximate half of the state and provincial highway agencies have a formal quality acceptance plan.
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• There appears to be a need for guidelines to help agencies define the level of data quality and detail needed for the various pavement management functions and decision-making levels. SUGGESTIONS FOR FUTURE RESEARCH Based on the issues identified in the previous section, the following topics can be listed as future research needs: • Identification and demonstration of "best quality management practices." 54 • Investigation of the effect of emerging pavement data collection technologies on pavement management recommendations.
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