Ship Route Planning Using Historical Trajectories Derived from AIS Data
Ship route planning is one of the key issues in enhancing traffic safety and efficiency. Many route planning methods have been developed, but most of them are based on the information from charts. This paper proposes a method to generate shipping routes based on historical ship tracks. The ship'...
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Gdynia Maritime University
2019-03-01
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doaj-96721807952e4ac49ee14cb5f04279202020-11-24T20:53:43ZengGdynia Maritime UniversityTransNav: International Journal on Marine Navigation and Safety of Sea Transportation2083-64732083-64812019-03-01131697610.12716/1001.13.01.06876Ship Route Planning Using Historical Trajectories Derived from AIS DataYan Kang He0Di Zhang1Jinfen Zhang2M.Y. Zhang3T.W. Li4Wuhan University of Technology, Wuhan, ChinaWuhan University of Technology, Wuhan, ChinaWuhan University of Technology, Wuhan, ChinaWuhan University of Technology, Wuhan, ChinaChangJiang Waterway Transportation Monitoring and Emergency Center, Wuhan, ChinaShip route planning is one of the key issues in enhancing traffic safety and efficiency. Many route planning methods have been developed, but most of them are based on the information from charts. This paper proposes a method to generate shipping routes based on historical ship tracks. The ship's historical route information was obtained by processing the AIS data. From which the ship turning point was extracted and clustered as nodes. The ant colony algorithm was used to generate the optimize route. The ship AIS data of the Three Gorges dam area was selected as a case study. The ships’ optimized route was generated, and further compared with the actual ship's navigation trajectory. The results indicate that there is space of improvement for some of the trajectories, especially near the turning areas.http://www.transnav.eu/files/Ship Route Planning Using Historical Trajectories Derived from AIS Data,876.pdfAIS DataAutomatic Identification System (AIS)Route PlanningHistorical TrajectoriesAIS MessagesMarine TrafficDijkstra AlgorithmAnt Colony Algorithm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yan Kang He Di Zhang Jinfen Zhang M.Y. Zhang T.W. Li |
spellingShingle |
Yan Kang He Di Zhang Jinfen Zhang M.Y. Zhang T.W. Li Ship Route Planning Using Historical Trajectories Derived from AIS Data TransNav: International Journal on Marine Navigation and Safety of Sea Transportation AIS Data Automatic Identification System (AIS) Route Planning Historical Trajectories AIS Messages Marine Traffic Dijkstra Algorithm Ant Colony Algorithm |
author_facet |
Yan Kang He Di Zhang Jinfen Zhang M.Y. Zhang T.W. Li |
author_sort |
Yan Kang He |
title |
Ship Route Planning Using Historical Trajectories Derived from AIS Data |
title_short |
Ship Route Planning Using Historical Trajectories Derived from AIS Data |
title_full |
Ship Route Planning Using Historical Trajectories Derived from AIS Data |
title_fullStr |
Ship Route Planning Using Historical Trajectories Derived from AIS Data |
title_full_unstemmed |
Ship Route Planning Using Historical Trajectories Derived from AIS Data |
title_sort |
ship route planning using historical trajectories derived from ais data |
publisher |
Gdynia Maritime University |
series |
TransNav: International Journal on Marine Navigation and Safety of Sea Transportation |
issn |
2083-6473 2083-6481 |
publishDate |
2019-03-01 |
description |
Ship route planning is one of the key issues in enhancing traffic safety and efficiency. Many route planning methods have been developed, but most of them are based on the information from charts. This paper proposes a method to generate shipping routes based on historical ship tracks. The ship's historical route information was obtained by processing the AIS data. From which the ship turning point was extracted and clustered as nodes. The ant colony algorithm was used to generate the optimize route. The ship AIS data of the Three Gorges dam area was selected as a case study. The ships’ optimized route was generated, and further compared with the actual ship's navigation trajectory. The results indicate that there is space of improvement for some of the trajectories, especially near the turning areas. |
topic |
AIS Data Automatic Identification System (AIS) Route Planning Historical Trajectories AIS Messages Marine Traffic Dijkstra Algorithm Ant Colony Algorithm |
url |
http://www.transnav.eu/files/Ship Route Planning Using Historical Trajectories Derived from AIS Data,876.pdf |
work_keys_str_mv |
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_version_ |
1716796390779125760 |