Develop Performance Models for Different Preventive Maintenance Treatments

The Texas Department of Transportation's (TxDOT) Pavement Management Information System (PMIS), recently implemented as Pavement Analyst (PA), stores and analyses network information and pavement performance data to select projects for maintenance and rehabilitation. After the network is analysed, an optimization algorithm produces one of the following recommendations: do nothing, preventive maintenance (PM), light, medium or heavy rehabilitation. PM includes several treatment options associated with very different cost and performance, e.g., seal coat, thin overlay, microsurfacing, etc. Since the performance and cost of these options are different, research is needed to quantify the difference and to incorporate this information into PMIS. Previous TxDOT-sponsored projects have developed performance models and decision trees that were last updated in 2021 as part of Project 0-6988, "Quantification of the Performance of Preventive Maintenance and Rehabilitation Strategies." This update was based on data available at that time, which was a combination of visual distress surveys and automated data. Now, more accurate automated data are available. Therefore, the research team will develop pavement performance models for different PM treatments, update the current decision trees and performance models, validate the models with new data, and develop an implementation plan to incorporate the findings into PMIS.

• Record URL:
  • https://library.ctr.utexas.edu/Presto/project=0-7244

Language

• English

Project

• Status: Active
• Funding: $399,021.00
• Contract Numbers:

  0-7244

• Sponsor Organizations:

  Texas Department of Transportation

  125 E. 11th Street
  Austin, TX  United States  78701-2483
• Managing Organizations:

  Texas Department of Transportation

  125 E. 11th Street
  Austin, TX  United States  78701-2483
• Project Managers:

  Kasberg, Katelyn

• Performing Organizations:

  Center for Transportation Research

  3925 W. Braker Lane
  Austin, TX  United States  78759

  University of Houston, Texas

  Houston, TX  United States 
• Principal Investigators:

  Prozzi, Jorge

• Start Date: 20250901
• Expected Completion Date: 20270831
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Decision support systems; Mathematical models; Optimization; Pavement maintenance; Pavement management systems; Pavement performance; Preventive maintenance
• Identifier Terms: Texas Department of Transportation
• Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Pavements; Planning and Forecasting;

Filing Info

• Accession Number: 01967530
• Record Type: Research project
• Source Agency: Texas Department of Transportation
• Contract Numbers: 0-7244
• Files: RIP, STATEDOT
• Created Date: Sep 29 2025 4:08PM