Quality Management of Pavement Condition Data Collection (2009) / Chapter Skim
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This is partially because in these services the "product" is not clearly known and the reference value often is difficult to determine. The literature suggests that the most efficient way to achieve high-quality pavement condition data collection services is to adopt a comprehensive, systematic quality management approach that includes methods, techniques, tools, and model problem solutions.
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From page 52... ...
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... ...
5. Quality Acceptance includes the activities that govern the acceptance of the pavement condition data and ensure that the final product is in compliance with the specifications.
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From page 54... ...
• 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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