A Machine Learning and Statistical Analysis Framework for Enhanced Engineer's Estimate Accuracy in Highway Infrastructure Projects, Phase I

State Transportation Agencies (STAs) rely on accurate engineer's estimates for budget allocation and contractor bid evaluation in highway projects. However, recent assessments reveal significant inaccuracies, with up to 25% deviations between engineers' estimates and awarded bids in the Wyoming Department of Transportation (WYDOT) in 2019. These deviations also resonate with similar findings published by other STAs. Challenges persist due to poor data quality and variations in estimating methods. This study aims to evaluate WYDOT's engineer's estimates' accuracy against historical bid data and assess consequences on project performance. Methodologically, a literature review and questionnaire survey will inform quantitative analysis of survey data and statistical analysis of bid tabulation data. By enhancing engineer's estimate accuracy, this research seeks to minimize budget deviations, improve project performance, and promote efficiency and transparency in transportation project planning and execution.

• Record URL:
  https://www.ctips.org/projects/details.php?id=613

Language

• English

Project

• Status: Active
• Funding: $103220
• Contract Numbers:

  69A3552348308

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

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

  Center for Transformative Infrastructure Preservation and Sustainability

  North Dakota State University
  Fargo, North Dakota  United States  58108-6050
• Project Managers:

  Tolliver, Denver

• Performing Organizations:

  University of Wyoming, Laramie

  Department of Civil and Architectural Engineering
  1000 East University Avenue
  Laramie, WY  United States  82071
• Principal Investigators:

  Abdelaty, Ahmed

• Start Date: 20240607
• Expected Completion Date: 20260606
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program
• Source Data: CTIPS-015

Subject/Index Terms

• TRT Terms: Accuracy; Bids; Budgeting; Construction projects; Engineers; Estimates; Machine learning; Statistical analysis
• Identifier Terms: Wyoming Department of Transportation
• Subject Areas: Administration and Management; Construction; Finance; Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01922769
• Record Type: Research project
• Source Agency: Center for Transformative Infrastructure Preservation and Sustainability
• Contract Numbers: 69A3552348308
• Files: UTC, RIP
• Created Date: Jun 26 2024 12:25PM