Optimizing Emergency Response: Intelligent Routing Decision Support System for First Responders at Rail Crossings
This research project addresses critical challenges faced by emergency response teams operating at rail crossings, where suboptimal routing decisions can lead to increased risks and delays. Presently, a gap exists in dedicated Intelligent Routing Decision Support Systems designed for the unique challenges posed by incidents at rail crossings. The project recognizes the distinct characteristics of rail crossings, encompassing unpredictable train schedules, varied terrains, and potential traffic congestion, factors often overlooked by existing routing systems. In response, this research aims to develop and implement an Intelligent Routing Decision Support System, leveraging real-time data and advanced algorithms to provide first responders with optimized routes. The project focuses on mitigating inefficient routing, providing intelligent decision support tailored to rail crossing emergencies, and overcoming integration challenges associated with incorporating real-time data from rail systems, traffic conditions, and incident-specific information. By addressing these issues, the research project aspires to significantly enhance the overall effectiveness of emergency response teams, ensuring timely and safe interventions in incidents at rail crossings.
Language
- English
Project
- Status: Active
- Funding: $77738
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Contract Numbers:
69A3552348340
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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 20590University of South Carolina, Columbia
502 Byrnes Building
Columbia, SC United States 29208 -
Managing Organizations:
University of South Carolina, Columbia
502 Byrnes Building
Columbia, SC United States 29208 -
Project Managers:
Stearns, Amy
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Performing Organizations:
University of South Carolina, Columbia
502 Byrnes Building
Columbia, SC United States 29208 -
Principal Investigators:
Chen, Yuche
Qian, Yu
- Start Date: 20240601
- Expected Completion Date: 20250531
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Data fusion; Decision support systems; Emergency response time; First responders; Railroad grade crossings; Railroad safety; Routes and routing
- Subject Areas: Data and Information Technology; Planning and Forecasting; Railroads; Safety and Human Factors; Security and Emergencies;
Filing Info
- Accession Number: 01924847
- Record Type: Research project
- Source Agency: University Transportation Center for Railway Safety
- Contract Numbers: 69A3552348340
- Files: UTC, RIP
- Created Date: Jul 22 2024 7:57AM