Research on Vessel Speed Heading and Collision Detection Method Based on AIS Data
In order to better predict the sailing information data of fishing boats, make accurate prediction and spacing budget for the sailing status of ships, achieve more accurate coordination and early warning in advance, and ensure the safety of fishing boats’ laneway, the essay combined the kinematics e...
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| Veröffentlicht in: | Mobile information systems 2022-09, Vol.2022, p.1-10 |
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| container_title | Mobile information systems |
| container_volume | 2022 |
| creator | Wang, Guoqing Fan, En Zheng, Guohua Li, Kexiang Huang, Haiguang |
| description | In order to better predict the sailing information data of fishing boats, make accurate prediction and spacing budget for the sailing status of ships, achieve more accurate coordination and early warning in advance, and ensure the safety of fishing boats’ laneway, the essay combined the kinematics equation and artificial neural network model to adapt to the traffic situation of fishing boats in the far sea. A course and collision test technique based on ship AIS data is proposed, and the course collision detection method of fishing boats is studied by means of actual ship beacon collision accident data. Through the practical test, taking the navigation mark 4560.117 as an example, under the detection track of the navigation mark field corresponding to R = 70, the two ships have the same track, thus verifying the practicality and feasibility of the ship navigation mark collision detection method. |
| doi_str_mv | 10.1155/2022/7257075 |
| format | Article |
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A course and collision test technique based on ship AIS data is proposed, and the course collision detection method of fishing boats is studied by means of actual ship beacon collision accident data. Through the practical test, taking the navigation mark 4560.117 as an example, under the detection track of the navigation mark field corresponding to R = 70, the two ships have the same track, thus verifying the practicality and feasibility of the ship navigation mark collision detection method.</description><identifier>ISSN: 1574-017X</identifier><identifier>EISSN: 1875-905X</identifier><identifier>DOI: 10.1155/2022/7257075</identifier><language>eng</language><publisher>Amsterdam: Hindawi</publisher><subject>Accident data ; Accuracy ; Algorithms ; Artificial neural networks ; Clustering ; Collision dynamics ; Decision making ; Fishing ; Kinematics ; Navigation ; Sailing ; Shipping industry ; Ships ; Traffic congestion</subject><ispartof>Mobile information systems, 2022-09, Vol.2022, p.1-10</ispartof><rights>Copyright © 2022 Guoqing Wang et al.</rights><rights>Copyright © 2022 Guoqing Wang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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A course and collision test technique based on ship AIS data is proposed, and the course collision detection method of fishing boats is studied by means of actual ship beacon collision accident data. 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A course and collision test technique based on ship AIS data is proposed, and the course collision detection method of fishing boats is studied by means of actual ship beacon collision accident data. Through the practical test, taking the navigation mark 4560.117 as an example, under the detection track of the navigation mark field corresponding to R = 70, the two ships have the same track, thus verifying the practicality and feasibility of the ship navigation mark collision detection method.</abstract><cop>Amsterdam</cop><pub>Hindawi</pub><doi>10.1155/2022/7257075</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-1704-5745</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Mobile information systems, 2022-09, Vol.2022, p.1-10 |
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| language | eng |
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| source | Wiley Online Library Open Access; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Accident data Accuracy Algorithms Artificial neural networks Clustering Collision dynamics Decision making Fishing Kinematics Navigation Sailing Shipping industry Ships Traffic congestion |
| title | Research on Vessel Speed Heading and Collision Detection Method Based on AIS Data |
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