Artificial Intelligence-Aided Rail Transit Infrastructure Data Mining
The primary goal of this proposal is to develop a pilot, proof-of-concept study in collaboration with the MTA to explore the use of Artificial Intelligence (AI) for analyzing infrastructure big data to predict track degradation and future condition. The intended outcome of the project is a novel AI model for track infrastructure data mining in rail transit. This tool aims to forecast track infrastructure condition and to address track degradation before failures occur. This will lead to better life cycle performance and save the total life cycle cost while ensuring infrastructure safety and durability. MTA and other agencies could use the approach to prioritize their infrastructure capital planning, inspection and maintenance.
- Record URL:
Language
- English
Project
- Status: Active
- Funding: $49888
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Contract Numbers:
69A3551847102
CAIT-UTC-REG43
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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:
Metropolitan Transportation Authority
347 Madison Avenue
New York, NY United States 10017-3739Center for Advanced Infrastructure and Transportation
Rutgers University
100 Brett Road
Piscataway, NJ United States 08854-8058 -
Project Managers:
Kraft, David
Szary, Patrick
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Performing Organizations:
Center for Advanced Infrastructure and Transportation
Rutgers University
100 Brett Road
Piscataway, NJ United States 08854-8058 -
Principal Investigators:
Liu, Xiang
- Start Date: 20210201
- Expected Completion Date: 20220131
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Artificial intelligence; Asset management; Data mining; Degradation (Thermodynamics); Infrastructure; Life cycle costing; Pilot studies; Rail transit; Railroad tracks
- Identifier Terms: New York State Metropolitan Transportation Authority
- Subject Areas: Data and Information Technology; Maintenance and Preservation; Public Transportation; Railroads;
Filing Info
- Accession Number: 01771379
- Record Type: Research project
- Source Agency: Center for Advanced Infrastructure and Transportation
- Contract Numbers: 69A3551847102, CAIT-UTC-REG43
- Files: UTC, RIP
- Created Date: May 6 2021 11:15AM