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Inference of Single Vessel Behaviour with Incomplete Satellite-based AIS Data

Published online by Cambridge University Press:  27 June 2013

Changqing Liu  and
Xiaoqian Chen
Changqing Liu
Affiliation:
(College of Aerospace Science and Engineering, National University of Defense Technology, P.R.China)
Xiaoqian Chen*
Affiliation:
(College of Aerospace Science and Engineering, National University of Defense Technology, P.R.China)
*
(E-mail: [email protected])
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Abstract

The problem of analysing a single vessel's behaviour from real but incomplete Automatic Identification System (AIS) data received by satellite has been investigated. The main objective was to infer the route of any single vessel of interest, utilising the dynamic information decoded from AIS messages. A complete process of route inference using position, speed, course over ground and time stamp information is proposed in this paper. Due to the incompleteness of satellite AIS messages, an algorithm incorporating random deviations is also presented to account for the missing sections of obtained vessel routes. Analysis results from a set of real AIS data have demonstrated the applicability of the proposed algorithms in various scenarios.

Keywords

AISVessel BehaviourAnomaly Detection
Type
Research Article
Information
The Journal of Navigation , Volume 66 , Issue 6 , November 2013 , pp. 813 - 823
Copyright
Copyright © The Royal Institute of Navigation 2013 

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References

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