Using Historical Data to Dynamically Route Post-Disaster Assessment Unmanned Aerial Vehicles in the Context of Responding to Tornadoes
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 l...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/7/4178 |
| _version_ | 1827747156939767808 |
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| author | Sean Grogan Michel Gamache Robert Pellerin |
| author_facet | Sean Grogan Michel Gamache Robert Pellerin |
| author_sort | Sean Grogan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T05:43:13Z |
| format | Article |
| id | doaj.art-c5617ba931bf4467a62ae1dd00786ba5 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T05:43:13Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-c5617ba931bf4467a62ae1dd00786ba52023-11-17T16:16:37ZengMDPI AGApplied Sciences2076-34172023-03-01137417810.3390/app13074178Using Historical Data to Dynamically Route Post-Disaster Assessment Unmanned Aerial Vehicles in the Context of Responding to TornadoesSean Grogan0Michel Gamache1Robert Pellerin2Polytechnique Montréal, Département de Mathématiques et de Génie Industriel, Montréal, QC H3T 1J4, CanadaPolytechnique Montréal, Département de Mathématiques et de Génie Industriel, Montréal, QC H3T 1J4, CanadaPolytechnique Montréal, Département de Mathématiques et de Génie Industriel, Montréal, QC H3T 1J4, CanadaResponding 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.https://www.mdpi.com/2076-3417/13/7/4178dynamic routingtornadoesdisaster responseunmanned aerial vehicle |
| spellingShingle | Sean Grogan Michel Gamache Robert Pellerin Using Historical Data to Dynamically Route Post-Disaster Assessment Unmanned Aerial Vehicles in the Context of Responding to Tornadoes Applied Sciences dynamic routing tornadoes disaster response unmanned aerial vehicle |
| title | Using Historical Data to Dynamically Route Post-Disaster Assessment Unmanned Aerial Vehicles in the Context of Responding to Tornadoes |
| title_full | Using Historical Data to Dynamically Route Post-Disaster Assessment Unmanned Aerial Vehicles in the Context of Responding to Tornadoes |
| title_fullStr | Using Historical Data to Dynamically Route Post-Disaster Assessment Unmanned Aerial Vehicles in the Context of Responding to Tornadoes |
| title_full_unstemmed | Using Historical Data to Dynamically Route Post-Disaster Assessment Unmanned Aerial Vehicles in the Context of Responding to Tornadoes |
| title_short | Using Historical Data to Dynamically Route Post-Disaster Assessment Unmanned Aerial Vehicles in the Context of Responding to Tornadoes |
| title_sort | using historical data to dynamically route post disaster assessment unmanned aerial vehicles in the context of responding to tornadoes |
| topic | dynamic routing tornadoes disaster response unmanned aerial vehicle |
| url | https://www.mdpi.com/2076-3417/13/7/4178 |
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