MATEC Web Conf.
Volume 291, 20192019 The 3rd International Conference on Mechanical, System and Control Engineering (ICMSC 2019)
|Number of page(s)||4|
|Published online||28 August 2019|
A DBSCAN based Algorithm for Ship Spot Area Detection in AIS Trajectory Data
Computer Science Department, Wuhan Donghu University, Wuhan, China
a Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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