Digital Twin for Emergency Traffic Management
The research team proposes a Digital Twin system that integrates cyber-physical simulation models (e.g. flood dynamic model in Pittsburgh Downtown area) with the live or historical IoT data. The system can be used for real-time operation and off-line training for emergency traffic management. It is portable and can run on a laptop, AR/VR device, or a stereo projector. The team will test their prototype with their partners in UPMC EMS and the Fire Academy.
- Record URL:
Language
- English
Project
- Status: Active
- Funding: $100000
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Contract Numbers:
69A3551747111
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Sponsor Organizations:
Carnegie Mellon University
Mobility21 National USDOT UTC for Mobility of Goods and People
Pittsburgh, PA United States 15213Office of the Assistant Secretary for Research and Technology
University Transportation Center Program
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Managing Organizations:
Carnegie Mellon University
Mobility21 National USDOT UTC for Mobility of Goods and People
Pittsburgh, PA United States 15213 -
Project Managers:
Kline, Robin
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Performing Organizations:
Carnegie Mellon University
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Principal Investigators:
Siegel, Mel
- Start Date: 20220701
- Expected Completion Date: 20230630
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Data fusion; Emergency management; Internet of things; Simulation; Traffic control
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Security and Emergencies;
Filing Info
- Accession Number: 01848337
- Record Type: Research project
- Source Agency: National University Transportation Center for Improving Mobility (Mobility21)
- Contract Numbers: 69A3551747111
- Files: UTC, RIP
- Created Date: Jun 10 2022 2:44PM