Evaluation and Development of Cost Prediction Models for Resurfacing Projects To Improve M&R Analysis and Project Development

Details

• Creators:
  Shrestha, K. Joseph ; Uddin, Mohammad Moin ; Iyiola, David ; Paul, Pritom
• Corporate Creators:
  East Tennessee State University
• Corporate Contributors:
  Tennessee. Department of Transportation ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Compatibility-scores Construction-project-bundling Construction Projects Cost-estimating-models Cost-prediction Cost Estimating Evaluation Maintenance Methodology Planning Project Management Rehabilitation

  More +
• Publication/ Report Number:
  RES2024-08
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Tennessee
• Edition:
  Final Report: August 2023 - September 2025
• Corporate Publisher:
  Tennessee. Department of Transportation
• Abstract:
  Accurate preliminary cost estimates for resurfacing projects are essential to conduct a reliable Maintenance & Rehabilitation (M&R) analysis, prioritize projects, and optimize the use of available budget. However, TDOT is currently using an outdated cost per lane mile data for such analysis, and hence the results of such analysis can be less reliable. To address the issue, this study develops a framework and a tangible tool entitled “Resurfacing Cost Prediction (RCP).” This framework and tool require limited project characteristics, such as, project length and location, that are available at the early phase of project development. The validation of the tool achieved 100% compliance for accuracy based on AASHTO Practical Guide for Cost Estimation for three treatment types for planning phase. The study also addresses another issue related to project bundling. TDOT creates bundles of resurfacing projects to attract more contractors, achieve lower cost per lane mile, and reduce administrative burden. However, TDOT lacks a systematic methodology to create project bundles. As such, it relies on manual identification of projects suitable for bundling. This manual approach can be very time-consuming and cumbersome, and it can create inconsistent bundles. To address this issue, an Automated Maintenance Project Bundling (AMPB) tool is developed. The tool was able to achieve up to 92% accuracy in correctly identifying if a project should be bundled or not. These frameworks and tools are expected to aid TDOT in improving the planning and execution of resurfacing projects while optimizing the use of available budget.
• Format:
  PDF
• Collection(s):
  Federal Aviation Administration
• Main Document Checksum:
  urn:sha-512:c83b4712f94090fdfacb84b9c5ee99a8ff283365395155b776e0c700f867131df9ac5e0eea4c1dbd0d301bdef73304f5e407f42f4d00240785388f711f8117c4
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/89715/dot_89715_DS1.pdf
• File Type:
  [PDF - 1.57 MB ]