Abstract

A vast ocean of AIS(Automatic Identification System) data broadcast by ships contain characteristic of marine traffic, from which information that reflects latent principles of characteristics of ship movements can be gathered. To extract features of vessels during the berthing phase with as little error as possible, using data mining method and mid-latitude sailing in combination, based on AIS database. Then applying the algorithm to Xiamen Songyu port area and Tianjin Beijiang port area for data of full year 2014 in these two waters. Lastly, in-depth analysis is carried out to discover the berthing speed control law for large container vessels when remaining distance to berth is about 20 times own ship LOA(Length Overall). The research may help competent authority advance the rule of safe speed, while it also provides the basis of speed control during berthing phase for pilot or self-pilot personnel.

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