Deep Learning Models and Tools for Disaster Evacuation and Routing

This project details tools, processes, and protocols that can proactively manage disaster response, routing, and communications. The project will use the New Madrid Seismic Zone in SE Missouri as a testbed for modeling the response to an earthquake and aftershocks at Magnitude 8+. This area was chosen as it allows solutions to consider regions with inadequate road networks, limited communications protocols, and high likelihood of destruction for the proposed scenario. Research tasks will use deep learning techniques combined with traffic simulation models and crowdsourcing models for communication during the event, emergency response, and network restoration.


    • English


    • Status: Active
    • Funding: $279620
    • Contract Numbers:


    • Sponsor Organizations:

      Missouri Department of Transportation

      1617 Missouri Boulevard
      P.O. Box 270
      Jefferson City, MO  United States  65102
    • Project Managers:

      Schulte, Brent

    • Performing Organizations:

      Missouri Center for Transportation Innovation

      Lafferre Hall
      416 S 6th St.
      Columbia, Missouri  United States  65201
    • Principal Investigators:

      Corns, Steve

      Long, Suzanna

      Edara, Praveen

    • Start Date: 20210801
    • Expected Completion Date: 20230131
    • Actual Completion Date: 0

    Subject/Index Terms

    Filing Info

    • Accession Number: 01851115
    • Record Type: Research project
    • Source Agency: Missouri Department of Transportation
    • Contract Numbers: TR202202
    • Files: RIP, STATEDOT
    • Created Date: Jul 8 2022 3:54PM