A Summary of the Research on AIS Track Clustering Methods

There are a lot of water traffic characteristics in the track data of ship Automatic Identification System (AIS) [1]. Lots of effective and potential information can be obtained by using clustering methods to analyze and study the historical track data of AIS. Based on the relevant literature at home and abroad, firstly, this paper briefly introduces the AIS track data and sums up the general steps of AIS track clustering, and then classifies and summarizes the common algorithms of AIS track clustering and their advantages and disadvantages. Finally, the future development trend and main problems of the study are prospected from the perspectives of data preprocessing, the influence of environmental factors and the application in the military field. This paper has certain reference significance to the related research.