LTPP InfoPave
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Filetype[PDF-753.66 KB]


  • English

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    • NTL Classification:
      NTL-HIGHWAY/ROAD TRANSPORTATION-Design;NTL-HIGHWAY/ROAD TRANSPORTATION-HIGHWAY/ROAD TRANSPORTATION;NTL-HIGHWAY/ROAD TRANSPORTATION-Pavement Management and Performance;
    • Abstract:
      The LTPP program was initiated in 1987 to satisfy a wide range of pavement information needs. Over the years, the program has accumulated a vast repository of research quality data, extensive documentation, and related tools, which compose LTPP’s comprehensive IMS. The LTPP IMS is comprised of two major components, the Pavement Performance Database (PPDB) and the Ancillary Information Management System (AIMS). The PPDB, which aims to find out how and why pavements perform the way they do, contains comprehensive data collected throughout the life of the experimental pavement sections. AIMS is a central electronic repository that contains information such as raw data, images, reference materials, resource documents, and other facts that support and extend the data stored in the PPDB. In addition, the LTPP program maintains a comprehensive reference library with more than 1,200 research reports, tech briefs, and program documents in electronic format that explain how the data are collected, processed, and stored. The LTPP IMS is the premier product of the LTPP program and will be used for research, pavement design, and product development for decades to come. The data and information in the LTPP IMS were made available via the Web through the data portal system, LTPP InfoPave, in January 2014 at the Transportation Research Board (TRB) 93rd Annual Meeting. An enhanced InfoPave is planned to be released in January 2016 at the TRB 95th Annual Meeting. InfoPave is the public gateway to access data and other information about the LTPP program. By using the latest methodologies in computer technology, this Web-centric interface is designed to improve access to LTPP data. In addition to providing access to LTPP data, the interface also provides information, education, and tools to maximize the use of available data.
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