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:
  https://ppms.cit.cmu.edu/projects/detail/401

Language

• English

Project

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

  69A3551747111

• Sponsor Organizations:

  Carnegie Mellon University

  Mobility21 National USDOT UTC for Mobility of Goods and People
  Pittsburgh, PA  United States  15213

  Office of the Assistant Secretary for Research and Technology

  University Transportation Center Program
  ,    
• Managing Organizations:

  Carnegie Mellon University

  Mobility21 National USDOT UTC for Mobility of Goods and People
  Pittsburgh, PA  United States  15213
• Project Managers:

  Kline, Robin

• Performing Organizations:

  Carnegie Mellon University

  ,    
• Principal Investigators:

  Siegel, Mel

• Start Date: 20220701
• Expected Completion Date: 20230630
• Actual Completion Date: 20230731
• 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