The National Academies Press

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From page 73... ... 73 Assessment of pavement condition has evolved over the past 30 to 40 years, from manual methods that use data collection crews walking or driving slowly on the shoulder to vehicles traveling at posted highway speeds capturing roadway profile and surface images for quantifying distress. While the transition to APCS has improved the safety and efficiency of data collection, it has also resulted in challenges that include keeping pace with rapidly advancing digital image technology, data quality concerns, year-to-year consistency, and modifications to existing pavement management components (e.g., performance measures, prediction models, treatment decision trees) Read the entire page →
From page 74... ... 74 Automated Data Collection and Quality Management for Pavement Condition Reporting measures along with other reporting requirements. For GASB-34, SHAs report general infrastructure assets along with depreciation or preservation cost. Read the entire page →
From page 75... ... Summary of Findings 75 responding agencies, 14 use a sample size of less than 5% of the total annual lane miles, 10 use a sample size of 5% to 15%, 4 use a sample size of 15% to 25%, 1 uses a sample size of 50% to 75%, and 12 use a sample size of 75% to 100%. The responding agencies indicated experiencing challenges in PM2 reporting related to establishing pavement performance targets (22 agencies) Read the entire page →
From page 76... ... 76 Automated Data Collection and Quality Management for Pavement Condition Reporting to assist agencies in using the refined standard, showcase agencies that have successfully adopted the standard, and quantify any needed refinements. • Conduct summary of local agency and MPO efforts in transitioning to automated pavement condition surveys. Read the entire page →

From page 73...

... 73 Assessment of pavement condition has evolved over the past 30 to 40 years, from manual methods that use data collection crews walking or driving slowly on the shoulder to vehicles traveling at posted highway speeds capturing roadway profile and surface images for quantifying distress. While the transition to APCS has improved the safety and efficiency of data collection, it has also resulted in challenges that include keeping pace with rapidly advancing digital image technology, data quality concerns, year-to-year consistency, and modifications to existing pavement management components (e.g., performance measures, prediction models, treatment decision trees)

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From page 74...

... 74 Automated Data Collection and Quality Management for Pavement Condition Reporting measures along with other reporting requirements. For GASB-34, SHAs report general infrastructure assets along with depreciation or preservation cost.

Read the entire page →

From page 75...

... Summary of Findings 75 responding agencies, 14 use a sample size of less than 5% of the total annual lane miles, 10 use a sample size of 5% to 15%, 4 use a sample size of 15% to 25%, 1 uses a sample size of 50% to 75%, and 12 use a sample size of 75% to 100%. The responding agencies indicated experiencing challenges in PM2 reporting related to establishing pavement performance targets (22 agencies)

Read the entire page →

From page 76...

... 76 Automated Data Collection and Quality Management for Pavement Condition Reporting to assist agencies in using the refined standard, showcase agencies that have successfully adopted the standard, and quantify any needed refinements. • Conduct summary of local agency and MPO efforts in transitioning to automated pavement condition surveys.

Read the entire page →

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