Successful Practices for Quality Management of Pavement Surface Condition Data Collection and Analysis Phase I: Task 2 - Document of Successful Practices
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2020-12-01
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Abstract:For years State Department of Transportations (DOTs) have conducted pavement surface condition surveys to use in the management of their pavement assets. These surveys involve a significant investment of time, money, and manpower. Understanding the level of reliability of the pavement condition data used in Pavement Management is important. Repeatable and reliable pavement condition data plays an important role in the development of condition indexes, performance models, understanding of how and why pavements perform better than others, and finding cost-effective solutions to pavement preservation needs. Good and reliable pavement condition data also play an important role in determining performance parameters. There are several sources of information on Quality Management (QM) standards, procedures, and best practices used to perform Quality Control (QC) and acceptance of pavement condition data. Implementing these processes improves the reliability of data to meet the needs of Pavement Management Programs (PMPs). The main goal of this project is to provide successful practices for DOTs to implement in quality management programs (QMPs) that result in increased data accuracy, precision, and reliability while maintaining a cost-effective data collection process. This report is a deliverable under Phase I: Task 2 – Document of Successful Practices.
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