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Detection of abnormal ship trajectory based on the complex polygon

Published online by Cambridge University Press:  18 April 2022

Jinxian Weng Open the ORCID record for Jinxian Weng [Opens in a new window] ,
Guorong Li Open the ORCID record for Guorong Li [Opens in a new window]  and
Yahui Zhao
Jinxian Weng*
Affiliation:
College of Transport and Communications, Shanghai Maritime University, Shanghai 201306, China
Guorong Li
Affiliation:
College of Transport and Communications, Shanghai Maritime University, Shanghai 201306, China
Yahui Zhao
Affiliation:
College of Transport and Communications, Shanghai Maritime University, Shanghai 201306, China
*
*Corresponding author. E-mail: [email protected]; [email protected].
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Abstract

Ship anomaly detection is a vital aspect for monitoring navigational safety in specific water areas. Considering the effect of water channel boundaries, we propose the detection of an abnormal ship trajectory based on the complex polygon (DATCP) method to detect ship anomalies in this study. With the automatic identification systems (AIS) data from the Yangtze River estuary, a case study is created to verify the effectiveness of the proposed DATCP method. The case study results reveal that the proposed DATCP method can provide higher detection accuracy than the conventional A* algorithm. The feature analysis results indicate that ship anomalies are significantly influenced by ship type, time period, weather conditions and ship traffic characteristics.

Keywords

trajectoryship behaviourautomatic identification systems
Type
Research Article
Information
The Journal of Navigation , Volume 75 , Issue 4 , July 2022 , pp. 966 - 983
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

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