Abstract
The big data acquired by AIS system contains abundant maritime traffic information. With the wide application of data mining in various fields in recent years, the mining on AIS data has draw attention of related researchers. Based on the ship AIS location data, this paper studies the relevant spot area detection algorithm. Firstly, the sample data are pre-processed from the original data, and the residence point of each ship is identified according to the ship speed and course change. Then a DBSCAN based clustering algorithm is used to cluster several latitude and longitude lattice, that is spot areas. The experiments on real AIS data sets shows that the algorithm is efficient and correct.
Highlights
IntroductionThe analysis and research of maritime location data sets can find out the information of location characteristics, movement rules and behavior patterns hidden behind the large location data, so as to guide the efficient development of marine activities [1]
Maritime transportation is the most important transportation nowadays
The Automatic Identification System (AIS) data is one of these data set, which is a tracking and self-reporting system used by maritime vessels to exchange information with other ships, AIS base stations, and satellites
Summary
The analysis and research of maritime location data sets can find out the information of location characteristics, movement rules and behavior patterns hidden behind the large location data, so as to guide the efficient development of marine activities [1]. The Automatic Identification System (AIS) data is one of these data set, which is a tracking and self-reporting system used by maritime vessels to exchange information with other ships, AIS base stations, and satellites. The International Maritime Organization (IMO) adopted performance standards for AIS and made AIS installation compulsory on all large maritime platforms around the world at 2000, which enable AIS to provide a wealth of valuable surveillance data for vast decision support applications. The purpose of this paper is to propose a spot area detection approach from AIS data, which can provide information support for relevant maritime traffic control, infrastructure planning, and maritime security surveillance
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