Strategic Planning and Deployment of Aerial Assets

The rapid deployment of fleets of small, uncrewed aircraft (drones) for tasks like package delivery or search-and-rescue in the immediate aftermath of a natural disaster are some of the most vital and common applications of advanced air mobility. Recognizing that successful drone missions depend on...

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Bibliographic Details
Main Author: Saravanan, Akila
Other Authors: Balakrishnan, Hamsa
Format: Thesis
Published: Massachusetts Institute of Technology 2024
Online Access:https://hdl.handle.net/1721.1/155367
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author Saravanan, Akila
author2 Balakrishnan, Hamsa
author_facet Balakrishnan, Hamsa
Saravanan, Akila
author_sort Saravanan, Akila
collection MIT
description The rapid deployment of fleets of small, uncrewed aircraft (drones) for tasks like package delivery or search-and-rescue in the immediate aftermath of a natural disaster are some of the most vital and common applications of advanced air mobility. Recognizing that successful drone missions depend on pre-established, well-positioned bases and efficient task allocation, this work presents a generalizable model for base positioning and routing in diverse applications. The proposed model prioritizes choosing bases that both maximize operational coverage and enable rapid responses to high-demand areas. Additionally, the framework integrates a vehicle routing component to optimize drone flight paths for efficient task completion in the tactical portion of drone-based operations; this component is the primary focus of this work. In addition to the theoretical formulation, the models are validated through case studies examining post-flooding search-and-rescue in the Iwate prefecture of Japan and package deliveries in the Austin, TX metropolitan area.
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spelling mit-1721.1/1553672024-06-28T03:14:25Z Strategic Planning and Deployment of Aerial Assets Saravanan, Akila Balakrishnan, Hamsa Massachusetts Institute of Technology. Department of Aeronautics and Astronautics The rapid deployment of fleets of small, uncrewed aircraft (drones) for tasks like package delivery or search-and-rescue in the immediate aftermath of a natural disaster are some of the most vital and common applications of advanced air mobility. Recognizing that successful drone missions depend on pre-established, well-positioned bases and efficient task allocation, this work presents a generalizable model for base positioning and routing in diverse applications. The proposed model prioritizes choosing bases that both maximize operational coverage and enable rapid responses to high-demand areas. Additionally, the framework integrates a vehicle routing component to optimize drone flight paths for efficient task completion in the tactical portion of drone-based operations; this component is the primary focus of this work. In addition to the theoretical formulation, the models are validated through case studies examining post-flooding search-and-rescue in the Iwate prefecture of Japan and package deliveries in the Austin, TX metropolitan area. S.M. 2024-06-27T19:48:13Z 2024-06-27T19:48:13Z 2024-05 2024-05-28T19:36:42.983Z Thesis https://hdl.handle.net/1721.1/155367 Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Copyright retained by author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Massachusetts Institute of Technology
spellingShingle Saravanan, Akila
Strategic Planning and Deployment of Aerial Assets
title Strategic Planning and Deployment of Aerial Assets
title_full Strategic Planning and Deployment of Aerial Assets
title_fullStr Strategic Planning and Deployment of Aerial Assets
title_full_unstemmed Strategic Planning and Deployment of Aerial Assets
title_short Strategic Planning and Deployment of Aerial Assets
title_sort strategic planning and deployment of aerial assets
url https://hdl.handle.net/1721.1/155367
work_keys_str_mv AT saravananakila strategicplanninganddeploymentofaerialassets