LTPP Information Management System IMS Quality Control Checks
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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.
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LTPP Information Management System IMS Quality Control Checks

Filetype[PDF-4.21 MB]


English
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Details:

  • Corporate Creators:
    United States. Federal Highway Administration. Office of Infrastructure Research and Development
  • Corporate Contributors:
    Turner-Fairbank Highway Research Center
  • Subject/TRT Terms:
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    United States
  • Corporate Publisher:
    United States. Federal Highway Administration. Office of Infrastructure Research and Development
  • Abstract:
    During the early 1980s, the Transportation Research Board (TRB) of the National Research Council, under the sponsorship of the Federal Highway Administration (FHWA) and with the cooperation of the American Association of State Highway and Transportation Officials (AASHTO), undertook a Strategic Transportation Research Study (STRS) of the deterioration of the Nation’s highway and bridge infrastructure system. The study recommended that a Strategic Highway Research Program (SHRP) be initiated to focus research and development activities on improving highway transportation. The study report, published in 1984 as TRB Special Report 202, America’s Highways, Accelerating the Search for Innovation, recommended six strategic research areas. The Long-Term Pavement Performance (LTPP) Program was one of these areas. During 1985 and 1986, independent contractors developed detailed research plans for SHRP. The detailed research plans were published in May 1986 as a TRB report entitled Strategic Highway Research Program-Research Plans.

    The LTPP program was envisioned as a comprehensive program to satisfy a wide range of pavement information needs. It draws on technical knowledge of pavements currently available and seeks to develop models that will better explain how pavements perform. It also seeks to gain knowledge of the specific effects on pavement performance of various design features, traffic and environment, materials, construction quality, and maintenance practices. As sufficient data become available, analyses are conducted to provide better performance prediction models for use in pavement design and management; better understanding of the effects of many variables on pavement performance; and new techniques for pavement design, construction, and rehabilitation.

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