Application of Advanced Analytic and Risk Techniques to Railroad Operations Safety and Management
The fundamental problem with the amounts of data collected by railroads is that they have generally lacked tools and the capability to analyze these data to develop predictive models to improve decisions regarding maintenance, operations and capital investments that improve safety, service and, ultimately, overall profitability. The primary goal of this project is to develop a prototype system that complements and improves the current tools and Decision Support Systems (DSS) used by the cooperating railroads. The intended outcome of the project is to develop a DSS and dashboard prototype system to support short line railroad in prioritizing maintenance activities, operational decisions and investment decisions.
Language
- English
Project
- Status: Completed
- Funding: $40000
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Contract Numbers:
69A3551847102
CAIT-UTC-REG24
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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:
Center for Advanced Infrastructure and Transportation
Rutgers University
100 Brett Road
Piscataway, NJ United States 08854-8058 424 2nd Avenue
Duncansville, PA United States 16635 -
Project Managers:
Szary, Patrick
Lamb, Jason
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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:
Williams, Trefor
Betak, John
Nelson, Christie
- Start Date: 20191101
- Expected Completion Date: 20201031
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Data analysis; Decision support systems; Investments; Maintenance management; Prototypes; Railroad safety; Risk management; Short line railroads
- Subject Areas: Data and Information Technology; Maintenance and Preservation; Planning and Forecasting; Railroads;
Filing Info
- Accession Number: 01722461
- Record Type: Research project
- Source Agency: Center for Advanced Infrastructure and Transportation
- Contract Numbers: 69A3551847102, CAIT-UTC-REG24
- Files: UTC, RIP
- Created Date: Nov 14 2019 8:28PM