A Time Domain-Based Iterative Method for Helicopter Maritime Search Area Planning and Construction of the Simulation Environment
Helicopters are widely used in maritime search and rescue (SAR) missions. To improve the probability of success (POS) of SAR missions, search areas should be carefully planned. However, the search area is usually determined based on the survivors' probable locations at a given moment by existin...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9233442/ |
| _version_ | 1818727212720848896 |
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| author | Peisen Xiong Hu Liu Yongliang Tian Zikun Chen |
| author_facet | Peisen Xiong Hu Liu Yongliang Tian Zikun Chen |
| author_sort | Peisen Xiong |
| collection | DOAJ |
| description | Helicopters are widely used in maritime search and rescue (SAR) missions. To improve the probability of success (POS) of SAR missions, search areas should be carefully planned. However, the search area is usually determined based on the survivors' probable locations at a given moment by existing planning methods, while the effects of the relative motion between the helicopter and the search objects are ignored, possibly leading to a significant decrease in the POS. To minimize the impact of search object motion, a time domain-based iterative planning (TIP) method is proposed in this article to obtain the optimal search areas. The survivors' probable locations and mean drift direction are updated iteratively, while the probability map is developed by taking survivors' mean drift direction as a reference. Then, the optimal search area is determined by an iterative search method starting from the cell with the highest probability of containment. To evaluate the effectiveness of a search plan, an agent-based simulation environment of a maritime search mission is constructed based on the AnyLogic simulation platform. Taking a capsizing case as an example, the simulation results show that the novel TIP method minimizes the impact of search object motion on the search effectiveness and obtains higher POS values than those obtained by other methods. |
| first_indexed | 2024-12-17T22:10:31Z |
| format | Article |
| id | doaj.art-7d855119086e4082a9722540063375d7 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T22:10:31Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7d855119086e4082a9722540063375d72022-12-21T21:30:45ZengIEEEIEEE Access2169-35362020-01-01819146019147110.1109/ACCESS.2020.30325839233442A Time Domain-Based Iterative Method for Helicopter Maritime Search Area Planning and Construction of the Simulation EnvironmentPeisen Xiong0https://orcid.org/0000-0003-2463-0253Hu Liu1https://orcid.org/0000-0002-6019-2759Yongliang Tian2https://orcid.org/0000-0002-0131-260XZikun Chen3https://orcid.org/0000-0002-9182-1378School of Aeronautic Science and Engineering, Beihang University, Beijing, ChinaSchool of Aeronautic Science and Engineering, Beihang University, Beijing, ChinaSchool of Aeronautic Science and Engineering, Beihang University, Beijing, ChinaSchool of Aeronautic Science and Engineering, Beihang University, Beijing, ChinaHelicopters are widely used in maritime search and rescue (SAR) missions. To improve the probability of success (POS) of SAR missions, search areas should be carefully planned. However, the search area is usually determined based on the survivors' probable locations at a given moment by existing planning methods, while the effects of the relative motion between the helicopter and the search objects are ignored, possibly leading to a significant decrease in the POS. To minimize the impact of search object motion, a time domain-based iterative planning (TIP) method is proposed in this article to obtain the optimal search areas. The survivors' probable locations and mean drift direction are updated iteratively, while the probability map is developed by taking survivors' mean drift direction as a reference. Then, the optimal search area is determined by an iterative search method starting from the cell with the highest probability of containment. To evaluate the effectiveness of a search plan, an agent-based simulation environment of a maritime search mission is constructed based on the AnyLogic simulation platform. Taking a capsizing case as an example, the simulation results show that the novel TIP method minimizes the impact of search object motion on the search effectiveness and obtains higher POS values than those obtained by other methods.https://ieeexplore.ieee.org/document/9233442/Agent-based modelinganyLogicmission area planningsearch and rescue |
| spellingShingle | Peisen Xiong Hu Liu Yongliang Tian Zikun Chen A Time Domain-Based Iterative Method for Helicopter Maritime Search Area Planning and Construction of the Simulation Environment IEEE Access Agent-based modeling anyLogic mission area planning search and rescue |
| title | A Time Domain-Based Iterative Method for Helicopter Maritime Search Area Planning and Construction of the Simulation Environment |
| title_full | A Time Domain-Based Iterative Method for Helicopter Maritime Search Area Planning and Construction of the Simulation Environment |
| title_fullStr | A Time Domain-Based Iterative Method for Helicopter Maritime Search Area Planning and Construction of the Simulation Environment |
| title_full_unstemmed | A Time Domain-Based Iterative Method for Helicopter Maritime Search Area Planning and Construction of the Simulation Environment |
| title_short | A Time Domain-Based Iterative Method for Helicopter Maritime Search Area Planning and Construction of the Simulation Environment |
| title_sort | time domain based iterative method for helicopter maritime search area planning and construction of the simulation environment |
| topic | Agent-based modeling anyLogic mission area planning search and rescue |
| url | https://ieeexplore.ieee.org/document/9233442/ |
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