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Estimating Navigation Patterns from AIS

Published online by Cambridge University Press:  07 October 2009

Karl Gunnar Aarsæther  and
Torgeir Moan
Karl Gunnar Aarsæther*
Affiliation:
(Norwegian University of Science and Technology)
Torgeir Moan
Affiliation:
(Norwegian University of Science and Technology)
*
(Email: aarsathe@ntnu.no)
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Abstract

The Automatic Identification System (AIS) has proven itself to be a valuable source for ship traffic information. Its introduction has reversed the previous situation with scarcity of precise data from ship traffic and has instead posed the reverse challenge of coping with an overabundance of data. The number of time-series available for ship traffic and manoeuvring analysis has increased from tens, or hundreds, to several thousands. Sifting through these data manually, either to find the salient features of traffic, or to provide statistical distributions of decision variables is an extremely time consuming procedure. In this paper we present the results of applying computer vision techniques to this problem and show how it is possible to automatically separate AIS data in order to obtain traffic statistics and prevailing features down to the scale of individual manoeuvres and how this procedure enables the production of a simplified ship traffic model.

Keywords

AISManoeuvre models
Type
Research Article
Information
The Journal of Navigation , Volume 62 , Issue 4 , October 2009 , pp. 587 - 607
Copyright
Copyright © The Royal Institute of Navigation 2009

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References

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