Strategic Planning of Aerial Assets for Disaster Response

Author:

Chin Christopher1,Saravanan Akila1,Balakrishnan Hamsa1,Andreeva-Mori Adriana2

Affiliation:

1. Massachusetts Institute of Technology, Cambridge, Massachusetts 02139

2. Japan Aerospace Exploration Agency, Tokyo 181-0015, Japan

Abstract

The rapid deployment of fleets of small, uncrewed aircraft (drones) in the immediate aftermath of a natural disaster to search impacted regions for people in need of rescue is one of the most vital applications of advanced air mobility. Effective drone-based search operations require that the drone fleets operate out of bases that are appropriately located in advance of the disaster. Using a case study based in the Iwate prefecture of Japan, we develop optimization formulations to strategically locate drone bases. It is important to be capable of responding quickly to the locations most likely to require a search, while covering as large an area as possible. We evaluate the disparities in the level of access afforded to different areas. We extend our optimization formulation to account for the probability of the base locations themselves being impacted by the disaster and the possibility of base relocation. Finally, we illustrate how a vehicle routing component can be used to address the tactical portion of drone-based search operations.

Funder

NSF CPS

MIT MISTI

NASA University Leadership Initiative Grant

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Reference23 articles.

1. Flood risk and climate change: global and regional perspectives

2. Institute for Water Resources (IWR), U.S. Army Corps of Engineers, “Flood Risk Management Approaches: As Being Practiced in Japan, Netherlands, United Kingdom and United States,” TR 2011-R-08, 2011.

3. Operational resilience: concepts, design and analysis

4. Optimized Stochastic Coordinated Planning of Asynchronous Air and Space Assets

5. Particle Swarm Optimization/Greedy-Search Algorithm for Helicopter Mission Assignment in Disaster Relief

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