Successful Practices for Quality Management of Pavement Surface Condition Data Collection and Analysis
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2023-02-01
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Edition:Final Report
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Abstract:For years State Departments of Transportation (DOTs) have conducted pavement surface condition surveys to collect data to manage their pavement assets. These surveys involve a significant investment of time, money, and human resources. Understanding the pavement condition data's reliability in pavement management is vital. Repeatable and reliable pavement condition data is vital in developing condition indexes and performance models, understanding how and why pavements perform better than others, and finding cost-effective solutions to pavement rehabilitation and preservation needs. Quality pavement condition data also play an essential role in determining performance parameters. Several sources of information on Quality Management (QM) standards, procedures, and best practices are used to perform Quality Control (QC) and acceptance of pavement condition data. Implementing these processes improves data reliability to meet the needs of Pavement Management Programs (PMPs). The main goal of this report is to provide successful practices for DOTs consideration to implement in data quality management programs (DQMPs) that result in increased data accuracy, precision, and reliability while maintaining a cost-effective data collection process.
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