RES2024-08: Evaluation and Development of Cost Prediction Models for Resurfacing Projects to Improve M & R Analysis and Project Development

Tennessee Department of Transportation (TDOT) needs a methodology and tool to accurately predict costs of resurfacing projects during the project development and M&R analysis that will aid TDOT engineers in selecting the best pavement resurfacing treatment type, prioritizing resurfacing project, and developing project bundling strategy that can increase the competition and decrease the project costs. The research will identify the best practices of predicting quick and accurate resurfacing projects costs, strategy for prioritizing projects, and bundle projects to secure more competitive bids. It will consist of an extensive review of existing literature on the topic. A TDOT-specific automation tool will be developed to predict resurfacing project costs to improve M&R analysis and project development. The tool will utilize historical data and machine learning models. Recommendation to integrate the new estimating tool into existing workflow and business practices will be provided. The findings of the study will be shared with TDOT as well as other interested state DOTs.

• Record URL:
  https://www.tn.gov/content/dam/tn/tdot/long-range-planning/research/one-pagers-res-2024-projects/RES%202024-08.final.pdf

Language

• English

Project

• Status: Active
• Contract Numbers:

  RES2024-08

• 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
• Project Managers:

  Jia, Xiaoyang

• Performing Organizations:

  East Tennessee State University

  1276 Gilbreath Dr.
  Johnson City, TN  United States  37614
• Principal Investigators:

  Shrestha, Joseph

• Start Date: 20230801
• Expected Completion Date: 20250131
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Best practices; Cost estimating; Forecasting; Machine learning; Resurfacing
• Identifier Terms: Tennessee Department of Transportation
• Subject Areas: Finance; Highways; Maintenance and Preservation; Pavements; Planning and Forecasting;

Filing Info

• Accession Number: 01891052
• Record Type: Research project
• Source Agency: Tennessee Department of Transportation
• Contract Numbers: RES2024-08
• Files: RIP, STATEDOT
• Created Date: Aug 25 2023 3:26PM