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Development of index based pavement performance models for pavement management system (PMS) of LADOTD.

Supporting Files
File Language:
English


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  • Edition:
    Fnal report; 10/1/2006-03/30/2009.
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  • Abstract:
    This report focuses on pavement performance and treatment models for Louisiana Department of Transportation and Development (LADOTD) and is in continuation of Louisiana Transportation Research Center (LTRC) Report No. 430 “Development of Uniform Sections for Pavement Inventory.” During the course of the study, a comprehensive evaluation and analysis of the pavement performance prediction and treatment models were conducted using LADOTD pavement distress data and historical information. Statistical analyses were used to generate models for pavement condition prediction and treatment performance evaluation based on the “surface age” or the “age” of pavements. These prediction models were developed for each distress type for four pavement types and four highway system classifications. The developed models provided good predictions and helped determine the remaining service life and pavement network health evaluation. Further research study is required to conduct comprehensive analyses of pavement treatment selection models based on LADOTD distress data and a scheme for the selection of the most cost-effective pavement treatment/preservation action based on the treatment performances and causes of distress. It is believed that findings of this study will enhance LADOTD’s capabilities in predicting pavement performance and monitoring pavement network condition in a most efficient and cost-effective manner.

    When this report was originally released, Appendix B "Individual Pavement Performance Models for Control Sections;" Appendix C "Consolidated Pavement Performance Models;" and, Appendix D "Generalized Pavement Performance Models" were included on a compact disc because of their length. These appendices may be found in the Supplemental Files tab of this record.

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    urn:sha-512:23b1b94ba18e4c42f19626e15d6e7dba61a1059f4c52f4c255650cb30ea7db8baa3a420c616dd586f452940459a4dd2a0cb2abc0529404f849a45e1678210fcd
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    Filetype[PDF - 1.35 MB ]
File Language:
English
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