Using Historical Data to Dynamically Route Post-Disaster Assessment Unmanned Aerial Vehicles in the Context of Responding to Tornadoes Article Swipe
Sean Grogan
,
Michel Gamache
,
Robert Pellerin
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/app13074178
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/app13074178
Responding to tornado disasters resides at a unique intersection of search and rescue operations: it has attributes of wilderness and maritime search and rescue operations and search and rescue operations in the aftermath of earthquakes and hurricanes. This paper presents a method of attempting to leverage historical data to more efficiently identify the extent of the area damaged by a tornado. To assist in building and understanding the historical data, we also develop a method to generate tornado areas that react similarly to the limited historical data set. The paper successfully demonstrates the method of creating artificial tornado instances that can be used as a testing sandbox for the further development of tools when responding to tornado-type disasters. These artificial instances perform similarly in some important metrics to the historical database of tornado instances that we produced. This paper also shows that the use of historical tornado trends has an impact on the response method outlined in this article, typically reducing the standard deviation of the time it takes to fully identify the extent of the damage.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/app13074178
- https://www.mdpi.com/2076-3417/13/7/4178/pdf?version=1679880567
- OA Status
- gold
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4361007366
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4361007366Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/app13074178Digital Object Identifier
- Title
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Using Historical Data to Dynamically Route Post-Disaster Assessment Unmanned Aerial Vehicles in the Context of Responding to TornadoesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-03-25Full publication date if available
- Authors
-
Sean Grogan, Michel Gamache, Robert PellerinList of authors in order
- Landing page
-
https://doi.org/10.3390/app13074178Publisher landing page
- PDF URL
-
https://www.mdpi.com/2076-3417/13/7/4178/pdf?version=1679880567Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2076-3417/13/7/4178/pdf?version=1679880567Direct OA link when available
- Concepts
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Tornado, Computer science, Leverage (statistics), Context (archaeology), Search and rescue, Intersection (aeronautics), Engineering, Geography, Meteorology, Transport engineering, Artificial intelligence, Archaeology, RobotTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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37Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2626856151, https://openalex.org/W6997285929, https://openalex.org/W2968173796, https://openalex.org/W2528740446, https://openalex.org/W2254288984, https://openalex.org/W2766448804, https://openalex.org/W2387009321, https://openalex.org/W2599903863, https://openalex.org/W2976721471, https://openalex.org/W4246518147, https://openalex.org/W3176412335, https://openalex.org/W4297872457, https://openalex.org/W2111262199, https://openalex.org/W1993395209, https://openalex.org/W2028620601, https://openalex.org/W2065435137, https://openalex.org/W2614009524, https://openalex.org/W1996375759, https://openalex.org/W1982075318, https://openalex.org/W2074313392, https://openalex.org/W2566818358, https://openalex.org/W2592935948, https://openalex.org/W2084971380, https://openalex.org/W2738842532, https://openalex.org/W1992193646, https://openalex.org/W2044435848, https://openalex.org/W2136029849, https://openalex.org/W2054452720, https://openalex.org/W2058903555, https://openalex.org/W4289821918, https://openalex.org/W3184078521, https://openalex.org/W1968731699, https://openalex.org/W2015082309, https://openalex.org/W2609810671, https://openalex.org/W2012115536, https://openalex.org/W2213183462, https://openalex.org/W2118725220 |
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