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:

  National University Transportation Center for Improving Mobility (Mobility21)

  Carnegie Mellon University
  Pittsburgh, PA  United States  15213

  Office of the Assistant Secretary for Research and Technology

  University Transportation Center Program
  ,    
• Managing Organizations:

  National University Transportation Center for Improving Mobility (Mobility21)

  Carnegie Mellon University
  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