RES2025-03: Determining Ways to Mediate Inaccurate Utility Estimates for Planning, Design, and Bid Prices at Letting
Over the past decade and a half, the State of Tennessee has witnessed a remarkable surge in its population, unprecedented in its history. This rapid growth has not only resulted in a significant increase in traffic volume but also in the accelerated degradation of state routes and the burgeoning development along these crucial corridors. In response to these challenges and to accommodate the burgeoning demands of its growing population, the state legislature passed the Transportation Modernization Act. This landmark legislation has earmarked billions of dollars for the enhancement of Tennessee's roadways and infrastructure, aiming to elevate the infrastructure across various types and levels of service on Tennessee roadways to meet current and future needs. The State of Tennessee has witnessed significant growth over the past decade, which has led to increased traffic, accelerated wear on state routes, and a surge in utility infrastructure within state highway rights of way. The TDOT faces challenges in coordinating the relocation of these utilities due to inaccurate preliminary cost estimates, leading to project delays, cost overruns, and disputes with utility companies. This proposal introduces an innovative solution: the development of an Artificial Intelligence (AI)-based tool designed to provide accurate utility relocation cost estimations. This tool aims to streamline budgeting processes, reduce discrepancies between estimated and actual costs, and minimize project delays and disputes.
Language
- English
Project
- Status: Active
- Funding: $200000
-
Contract Numbers:
RES2025-03
-
Sponsor Organizations:
Tennessee Department of Transportation
James K. Polk Building
Fifth and Deaderick Street
Nashville, TN United States 37243-0349 - Managing Organizations: Knoxville, TN United States
-
Project Managers:
McDonough, Sean
-
Performing Organizations:
University of Tennessee, Knoxville
Center for Transportation Research
Conference Center Building
Knoxville, TN United States 37996-4133 -
Principal Investigators:
Zhou, Hongye
- Start Date: 20240901
- Expected Completion Date: 20260930
- Actual Completion Date: 0
- USDOT Program: Performance-Based Planning and Equity
- Subprogram: Transportation, Planning, Research, and Development
Subject/Index Terms
- TRT Terms: Artificial intelligence; Construction projects; Cost estimating; Estimates; Public utilities; Relocation (Facilities); Road construction
- Subject Areas: Construction; Highways; Planning and Forecasting;
Filing Info
- Accession Number: 01932350
- Record Type: Research project
- Source Agency: Tennessee Department of Transportation
- Contract Numbers: RES2025-03
- Files: RIP, STATEDOT
- Created Date: Sep 30 2024 3:51PM