RES2013-31: Implementation and Improvement of Pavement & Asset Management System in Tennessee

This project aims to assist in implementation of pavement management systems (PMS) including data collection, condition report and strategy analysis and helpdeveloping the asset management plan for the state. The research team accomplished several proposed tasks including: defining the mostrecent highway information and pavement maintenance treatments in PMS; examining “untreated” and “poor” pavement segments;updating pavement related data; generating annual pavement condition report; producing the MAP21 pavement condition report for the FHWA; conducting pavement maintenance strategy analysis. In addition to those routine work, the research team also worked onseveral tasks for pavement maintenance and management, including: (1) All the poor pavement sections in Tennessee were examined by investigating the pavement condition data in the PMS andvisual inspection using the TRIMs. The causes of those poor sections were analyzed. By setting the roughness, rutting anddistress thresholds, poor pavement segments in Tennessee were identified. Related traffic and maintenance information ofthose pavement segments were also collected. (2) The optimized sampling method for pavement inspection for Tennessee were analyzed based on TDOT’s inspection protocoland historical passing percent. (3) Failure probability of typical pavement preventive maintenance treatments were analyzed using survival analysis. The pre-treatment performance level was identified as the most significant factor influencing treatment performance, followed bytreatment type, traffic level and environmental factors. (4) To calibrate the weights of single pavement distress indicator and the overall pavement distress index (PDI), the structuralequation modeling method was utilized to find the correlations between different pavement condition indices. (5) The effects of construction considerations on performance maintenance treatments were analyzed by data mining technology.To overcome the difficulties in those factor analysis, the decision tree method was adopted to identify and quantify theinfluence of those factors.


  • English


  • Status: Completed
  • Funding: $328335
  • Contract Numbers:


    FHWY No. 021B068

    Contract No. EG1437194

  • Sponsor Organizations:

    Tennessee Department of Transportation

    James K. Polk Building
    Fifth and Deaderick Street
    Nashville, TN  United States  37243-0349
  • Managing Organizations:

    Tennessee Department of Transportation

    James K. Polk Building
    Fifth and Deaderick Street
    Nashville, TN  United States  37243-0349
  • Performing Organizations:

    University of Tennessee, Knoxville

    Center for Transportation Research
    Conference Center Building
    Knoxville, TN  United States  37996-4133
  • Principal Investigators:

    Huang, Baoshan

    Dong, Qiao

  • Start Date: 20130701
  • Expected Completion Date: 20161001
  • Actual Completion Date: 0
  • USDOT Program: Transportation, Planning, Research, and Development

Subject/Index Terms

Filing Info

  • Accession Number: 01762876
  • Record Type: Research project
  • Source Agency: Tennessee Department of Transportation
  • Contract Numbers: RES2013-31, FHWY No. 021B068, Contract No. EG1437194
  • Files: RIP, STATEDOT
  • Created Date: Jan 28 2021 1:39PM