Performance Evaluation and Prediction of Innovative Paving Materials through Pavement Management System (PMS) Data Mining

Considerable field data have been collected by pavement engineers over the past thirty years. These data have great values to direct future pavement designs, maintenance, and quality assurance. As new innovative and sustainable paving materials have been increasingly adopted today, there has not been sufficient research to explore the newly generated data and develop performance models for those materials. The proposed project is a one-year study to conduct deep and systematic data mining on the existing pavement data and develop predictive models in terms of pavement performance, material properties, traffic effects, and pavement maintenance plans using data-driven intelligence technologies. The data mining will focus on the local State Highway Agencies (SHAs)’ Pavement Management System (PMS) and Long-Term Pavement Performance (LTPP) database. The research outcome will help highway agencies to better design, maintain, and manage pavement infrastructures, and serve as preliminary work for the future development of holistic data hub system in transportation infrastructure engineering.

• Record URL:
  https://tridurle.wsu.edu/performance-evaluation-and-prediction-of-innovative-paving-materials-through-pavement-management-system-pms-data-mining/

Language

• English

Project

• Status: Active
• Funding: $180001
• Contract Numbers:

  69A3551947137

• Sponsor Organizations:

  Transportation Infrastructure Durability & Life Extension

  Washington State University
  Civil & Environmental Engineering
  Pullman, Washington  United States  99164

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Transportation Infrastructure Durability & Life Extension

  Washington State University
  Civil & Environmental Engineering
  Pullman, Washington  United States  99164
• Project Managers:

  Kline, Robin

• Performing Organizations:

  Missouri University of Science & Technology, Rolla

  Department of Engineering
  202 University Center
  Rolla, MO    65409
• Principal Investigators:

  Liu, Jenny

• Start Date: 20230331
• Expected Completion Date: 20240430
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers
• Subprogram: Transportation Infrastructure Durability and Life Extension

Subject/Index Terms

• TRT Terms: Data mining; Pavement management systems; Pavement performance; Paving materials; Predictive models
• Subject Areas: Data and Information Technology; Highways; Materials; Pavements;

Filing Info

• Accession Number: 01890848
• Record Type: Research project
• Source Agency: National Center for Transportation Infrastructure Durability and Life-Extension
• Contract Numbers: 69A3551947137
• Files: UTC, RIP
• Created Date: Aug 23 2023 8:56PM