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.

Language

  • English

Project

  • Status: Active
  • 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: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

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 12:53PM