Maritime Surveillance, Vessel Route Estimation and Alerts using AIS Data

被引：0
|
作者：
Patmanidis, Spyridon [1 ]
Voulgaris, Iasonas [2 ]
Sarri, Elena [1 ]
Papavassilopoulos, George [1 ]
Papavasileiou, George [2 ]
机构：
[1] Natl Tech Univ Athens, Dept Elect & Comp Engn, Athens 15780, Greece
[2] Interoperabil Syst Int ISI Hellas SA, Argyroupoli 16451, Greece
来源：
2016 24TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED) | 2016年
关键词：
Estimation; Linear Filtering; ARMA; AIS Vessel Monitoring; Alert;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper focuses on estimating the route of a vessel and detecting abnormal behaviors based on AIS data. Linear Filtering using ARMA models is proposed in order to create trajectory forecasts. Furthermore, various alert criteria are set expressing different abnormalities. The software application created to test the proposed methodology is presented. AIS data collected from Saronikos Bay were used and the results show that the program could successfully monitor the bay in real time and report abnormalities in vessel behavior.
引用
收藏
页码：809 / 813
页数：5
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