Performance Based Planning and Programming for Pavement Management
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Full Description:

Emerging technologies, such as connected and automated vehicle technology, offer new sources of data pertaining to the condition of infrastructure. In this report, CAR researchers examine the potential for using novel data sources for pavement condition assessment. The data sources considered include: smartphone apps and crowdsourcing, automated vehicle systems data, in situ structural health monitoring, and automated distress classification. Fully utilizing these data will require integration into a robust pavement management system within an agency-wide framework of performance-based planning and programming. This report discusses how these novel data sets can be adopted into such a framework with regard to recently revised federal requirements for transportation planning.

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