United States Department of Transportation
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Abstract:Automated pavement performance data collection is a method that uses advanced technology to collect detailed road surface
distress information at traffic speed. Agencies are driven to use automated survey techniques to enhance or replace their
current manual distress survey because of the advantages of objective measurements, safety benefits, and reduced
measurement time. As agencies move toward the transition to fully automated data collection methods, there are common
concerns regarding how the output of the new method will match the current manual survey ratings and how they will be
adopted into the existing Pavement Management System (PMS). This study evaluates the newly implemented automated
distress survey technique and its implementation into the Nebraska Pavement Management System (NPMS). To meet the
objectives, a user-friendly program was developed to convert the automated distress ratings into the current manual distress
ratings format. Then, a data set that includes more than 7,000 miles of distress data collected by the automated method was
converted to the manual data format and compared to the most recent manual rating data of those sections to assess the
agreement between the two data formats after the conversion process. The results show that the automated pavement survey
slightly overrates bituminous pavement distresses with only a few distress types that could not be properly detected. Finally,
a regression analysis of a core pavement performance indicator, NSI, was conducted to examine how the new automated
performance measurement system will ultimately affect NPMS decisions if implemented into Nebraska’s pavement
management system.
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