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Data Mining of the Caltrans Pavement Management System (PMS) Database

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  • Lea, Jeremy
  • Harvey, John

Abstract

Since 1977, Caltrans has been routinely collecting performance information for its pavement network and using a pavement management system (PMS) to manipulate this information in order to aid in the management of the network. This report details the "mining" of this database to extract environmental performance indicators for the various climate regions in California, and to extract section information for portland cement concrete (PCC) pavements that have been overlaid with asphalt concrete (with the specific goal of obtaining information regarding the reflection cracking performance). The first objective of this study is to provide the best possible estimate of the performance of the standard Caltrans strategy for asphalt concrete overlays of PCC pavements, to provide an estimate to Caltrans, and to provide calibration data for the development of mechanistic-empirical models for reflection cracking. The second objective of this study is to provide recommendations for short-term and long-term changes to the Caltrans PMS and the operations that support and maintain it.

Suggested Citation

  • Lea, Jeremy & Harvey, John, 2004. "Data Mining of the Caltrans Pavement Management System (PMS) Database," Institute of Transportation Studies, Working Paper Series qt0q14d699, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt0q14d699
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    Engineering;

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