DRONETIM: Dynamic Routing Of uNmanned-aerial and Emergency Team Incident Management

Unmanned aircraft vehicles (UAVs) have been actively used for crash scene reconstruction and Lancashire fire and rescue. However, there has been a lack of application of UAVs to emergency (ambulatory) response vehicles (ERVs) and a successful usage will lead to a quicker response to emergency site to save lives, reduce secondary crash occurrences, which are more frequent than disasters, and reduce delays to the vulnerable users. UAVs can be coordinated with ERVs, but without an automated framework, it is challenging to adopt to the revision of Federal Aviation Administration (FAA) rules that already have been announced to accommodate more advanced operations. To maximize the efficiency, this project will make a new generation of research in UAV-guided ERV Routing and with a real-world validation with a small example at VTTI test site. In a two-step stochastic dynamic program, UAV will be operated to provide the useful information on traffic condition of potential ERV routes. The research team will provide the framework to apply their model to catastrophic emergency scenarios (e.g., hurricane) when some traffic sensors are not working properly and require more UAVs assistance. Markov processing model will be developed to predict evolving traffic condition and future dependent emergencies in high performance computing and visualization environments.

Language

• English

Project

• Status: Active
• Funding: $149683
• Contract Numbers:

  69A3551747125

• Sponsor Organizations:

  Center for Advanced Transportation Mobility

  North Carolina Agricultural and Technical State University
  Greensboro, NC  United States  27411

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Center for Advanced Transportation Mobility

  North Carolina Agricultural and Technical State University
  Greensboro, NC  United States  27411

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Project Managers:

  Park, Hyoshin

• Performing Organizations:

  North Carolina A&T State University

  1601 E. Market Street
  Greensboro, NC  United States  27411

  Virginia Tech Transportation Institute

  3500 Transportation Research Plaza
  Blacksburg, Virginia  United States  24061
• Principal Investigators:

  Park, Hyoshin

  Alden, Andrew

  Yi, Sun

• Start Date: 20190201
• Expected Completion Date: 20220131
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Ambulances; Disasters and emergency operations; Drones; Dynamic programming; Emergency response time; Incident management; Markov chains; Routing; Stochastic programming; Test facilities; Traffic crashes
• Subject Areas: Aviation; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors; Security and Emergencies; Vehicles and Equipment;

Filing Info

• Accession Number: 01708119
• Record Type: Research project
• Source Agency: Center for Advanced Transportation Mobility
• Contract Numbers: 69A3551747125
• Files: UTC, RIP
• Created Date: Jun 19 2019 9:55AM