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Development of Uniform Sections for PMS Inventory and Application.

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English


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  • Abstract:
    This report summarizes the findings of the first phase of LTRC research project 04-2P, which is sponsored by LADOTD.

    The project is assessing the current status and the state-of-the-practice of the LADOTD pavement management system

    (PMS). Results of the assessment would help LADOTD accomplish its overall objective in developing a cost-effective

    pavement preservation strategy to improve the pavement condition, as stated in the “Louisiana-Vision 2020”. During the

    course of the study, various components of the PMS were evaluated. A detailed survey of all district engineers was

    conducted to establish the needs of each district. Based on the survey results and assessment of the current PMS

    practices, the research team collaborated with LADOTD’s PMS engineers to make various conclusions and

    recommendations. The key efforts of the research team during the first phase of the study included the following:

    ?? A review of the-state-of-the-practice of LADOTD’s PMS. The review included, but was not limited to, the current

    highway classification system, the reference location systems, the distress data collection and storage practices, other

    data available in the department, deduct points, distress indices and remaining service life calculations, and projectand

    network-level reports.

    ?? A survey of all districts engineers to address the needs of the districts. The survey addressed various issues including

    the types of reports and their accessibility, the utility of the PMS outputs, the existing location reference systems, the

    various pavement preservation actions, and the degrees to which the PMS users fully understand the benefits and the

    potential cost savings that can be precipitated by using the PMS data.

    The investigators believe that the results of this study will enhance the PMS capabilities in managing pavements and

    facilitate better communication among various PMS data users and decision makers.

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  • Main Document Checksum:
    urn:sha-512:57e10818c463c4a74280ba38805c8863d746cc6d20a2108a6ec5ce656e85d7e57162e234681d52b5a298436ef74a1a35f74b482d515b2ca5eb911d40564c060e
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    Filetype[PDF - 3.64 MB ]
File Language:
English
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