Multi-ship Encounter Situational Awareness Based on AIS Data

被引：0
|
作者：
Li Yong-pan [1 ]
Liu Zheng-jiang [1 ]
Zheng Zhong-yi [1 ]
机构：
[1] Dalian Maritime Univ, Nav Coll, Dalian, Peoples R China
来源：
2017 4TH INTERNATIONAL CONFERENCE ON INFORMATION, CYBERNETICS AND COMPUTATIONAL SOCIAL SYSTEMS (ICCSS) | 2017年
关键词：
AIS; DBSCAN Algorism; Clustering Analysis; Multi-ship Encounter; ALGORITHM;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
It is of great significance for the competent authorities to study the method of multi-ship encounter situational awareness and to improve vessel traffic service, finally to reduce the number of accidents. This paper describes the concept of AIS-based multi-ship encounter, proposes the method of AIS data time-slicing and the algorithm of AIS-based multi-ship encounter recognition from the idea of spatio-temporal clustering, and takes AIS data of the NingboZhoushan port for a case study. The algorithm can recognize how many ships encounter and how long the encounters last in the specific waters by adjusting parameters flexibly. And VTS playback recordings has confirmed its effectiveness.
引用
收藏
页码：523 / 527
页数：5
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