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Exploring AIS data for intelligent maritime routes extraction
Highlights A method of extracting maritime traffic routes from AIS data is proposed. A ship's trajectory is defined as a “stop-waypoint-stop” trip semantic model. The construction of ship maritime traffic map is based on graph theory. The proposed method is applied to real-world AIS data.
Abstract Maritime traffic route is the basis for the analysis of ship traffic characteristics and navigation safety. However, the spatial freedom of ship navigation makes the extraction of maritime traffic route a challenging task. In order to realize the extraction of ship traffic routes at sea, a maritime route extraction method based on ship history automatic identification system (AIS) data is proposed. In this method, the ship trajectory with rich position information is transformed into a ship trip semantic object (STSO) with semantic information, and each ship trip is abstracted as a “stop-waypoint-stop” trip object. In addition, based on the graph theory, the STSO is further integrated into the nodes and edges of a directed maritime traffic graph to realize the extraction and expression of the shipping routes. In order to prove the effectiveness of this method, the real-world AIS historical data are used for testing, and the results show that this method can effectively extract maritime traffic routes.
Exploring AIS data for intelligent maritime routes extraction
Highlights A method of extracting maritime traffic routes from AIS data is proposed. A ship's trajectory is defined as a “stop-waypoint-stop” trip semantic model. The construction of ship maritime traffic map is based on graph theory. The proposed method is applied to real-world AIS data.
Abstract Maritime traffic route is the basis for the analysis of ship traffic characteristics and navigation safety. However, the spatial freedom of ship navigation makes the extraction of maritime traffic route a challenging task. In order to realize the extraction of ship traffic routes at sea, a maritime route extraction method based on ship history automatic identification system (AIS) data is proposed. In this method, the ship trajectory with rich position information is transformed into a ship trip semantic object (STSO) with semantic information, and each ship trip is abstracted as a “stop-waypoint-stop” trip object. In addition, based on the graph theory, the STSO is further integrated into the nodes and edges of a directed maritime traffic graph to realize the extraction and expression of the shipping routes. In order to prove the effectiveness of this method, the real-world AIS historical data are used for testing, and the results show that this method can effectively extract maritime traffic routes.
Exploring AIS data for intelligent maritime routes extraction
Yan, Zhaojin (author) / Xiao, Yijia (author) / Cheng, Liang (author) / He, Rong (author) / Ruan, Xiaoguang (author) / Zhou, Xiao (author) / Li, Manchun (author) / Bin, Ran (author)
Applied Ocean Research ; 101
2020-06-20
Article (Journal)
Electronic Resource
English
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