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2022 Journal Impact Factor - 0.6
2022 CiteScore - 1.7




ISSN 2083-6473
ISSN 2083-6481 (electronic version)




Associate Editor
Prof. Tomasz Neumann

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
Ship Route Planning Using Historical Trajectories Derived from AIS Data
1 Wuhan University of Technology, Wuhan, China
2 National Engineering Research Center for Water Transport Safety, Wuhan, China
3 ChangJiang Waterway Transportation Monitoring and Emergency Center, Wuhan, China
Times cited (SCOPUS): 16
ABSTRACT: 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.
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Citation note:
He Y.K., Zhang D., Zhang J.F., Zhang M.Y., Li T.W.: Ship Route Planning Using Historical Trajectories Derived from AIS Data. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 13, No. 1, doi:10.12716/1001.13.01.06, pp. 69-76, 2019
Authors in other databases:
Yan Kang He :
Di Zhang:
Jinfen Zhang: Scholar icon_Ip74CcAAAAJ
M.Y. Zhang:
T.W. Li:

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