Using Emerging and Established Technologies for Asset Management: A Guide
Emerging and current technologies, including field data collection tools and artificial intelligence, hold the promise of transforming data collection for transportation asset management (TAM). While these technologies have drastically improved the accessibility of, affordability of, and ability to collect high volumes of asset inventory data, it is still a challenge to turn data into actionable information that improves asset management life-cycle and decision-making processes. The objective of this research is to develop a guide to assist state departments of transportation in decision-making and implementation as they relate to emerging and established technologies used to capture and update changes to transportation assets.
Language
- English
Project
- Status: Active
- Funding: $500,000
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Contract Numbers:
Project 23-41
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Sponsor Organizations:
National Cooperative Highway Research Program
Transportation Research Board
500 Fifth Street, NW
Washington, DC United States 20001American Association of State Highway and Transportation Officials (AASHTO)
444 North Capitol Street, NW
Washington, DC United States 20001Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Project Managers:
Nasri, Arefeh
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Performing Organizations:
University of Kentucky, Lexington
Kentucky Transportation Center
College of Engineering, 176 Raymond Building
Lexington, KY United States 40506-0281 -
Principal Investigators:
Nassereddine, Hala
- Start Date: 20241118
- Expected Completion Date: 20270518
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Asset management; Data collection; Information processing; Infrastructure; Inventory; State departments of transportation; Technological innovations
- Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation;
Filing Info
- Accession Number: 01898363
- Record Type: Research project
- Source Agency: Transportation Research Board
- Contract Numbers: Project 23-41
- Files: TRB, RIP
- Created Date: Nov 7 2023 12:11PM