Departments of transportation (DOTs) use pavement condition surveys to assess current pavement conditions and predict future pavement conditions to determine the type and timing of maintenance and rehabilitation treatments; define future budget needs; and develop, or refine, pavement performance models. Over the last two decades, pavement condition assessment has transitioned from manual to semiautomated to fully automated pavement condition surveys.
NCHRP Synthesis 636: AI Applications for Automatic Pavement Condition Evaluation, from TRB's National Cooperative Highway Research Program, documents state DOT automated pavement distress identification and the use of artificial intelligence technologies to evaluate pavement conditions.
National Academies of Sciences, Engineering, and Medicine. 2024. AI Applications for Automatic Pavement Condition Evaluation. Washington, DC: The National Academies Press.
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