Near-Real-time Health Monitoring and Assessment of a Railway Track system

The extensive rail network in the United States serves as a lifeline for the mobility of people and goods, underscoring the critical need for robust methods to evaluate, monitor, and predict the health of rail infrastructure. The primary aim of this research is to create an evaluation framework that enables the rigorous analysis of the efficiency and mobility implications of various transportation policies, especially within the context of the Washington DC area. This research aims to implement a near real-time health monitoring and assessment technique that integrates contact-based strain and temperature sensors, contactless camera image or video data, and innovative machine learning (ML) models to achieve reliable long-term assessment and predictive modeling of railway track systems. This research will be implemented and validated in real-time at selected sections of a rail-track system in the region. The project's outcome will provide a validated method for early warning of railway track systems. This method will provide information to decision makers of rail systems in near-real time to take actions that can reduce delays and accidents by targeting speed advisories at specific locations.

• Record URL:
  • https://www.morgan.edu/national-transportation-center/the-smarter-center-(2023-2029)/research/near-real-time-health-monitoring-and-assessment-of-a-railway-track-system

Language

• English

Project

• Status: Active
• Funding: $100000
• Contract Numbers:

  69A3552348303

• Sponsor Organizations:

  Safety and Mobility Advancements Regional Transportation and Economics Research Center

  Morgan State University
  Baltimore, MD  United States 
• Managing Organizations:

  Safety and Mobility Advancements Regional Transportation and Economics Research Center

  Morgan State University
  Baltimore, MD  United States 
• Principal Investigators:

  Marin-Artieda, Claudia

• Start Date: 20230901
• Expected Completion Date: 20240901
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Evaluation and assessment; Investments; Machine learning; Railroad tracks; Structural health monitoring
• Geographic Terms: Washington (District of Columbia)
• Subject Areas: Maintenance and Preservation; Policy; Railroads; Society; Terminals and Facilities;

Filing Info

• Accession Number: 01919545
• Record Type: Research project
• Source Agency: Safety and Mobility Advancements Regional Transportation and Economics Research Center
• Contract Numbers: 69A3552348303
• Files: UTC, RIP
• Created Date: May 23 2024 4:42PM