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Reliability evaluation of incomplete AIS trajectories

Laurent Lecornu 1, 2 Julien Montagner 1, 2 John Puentes 1, 2 
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : Automatic Identification System (AIS) data are prone to alterations that impede signal storage, producing incomplete trajectories. Since trajectory analysis assumes complete AIS data sets, incomplete trajectories are discarded. Yet, those data sets contain proper values, which could be exploited. This paper describes an approach to estimate the degree of reliability assigned to missing segments of a vessel trajectory, depending on meaningful statistical variations of recorded and predicted vessel positions. The approach was tested on real AIS data of three vessels. Results suggest that reliability can be determined from vessel speed and heading variations.
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Submitted on : Thursday, June 12, 2014 - 5:06:34 PM
Last modification on : Monday, March 14, 2022 - 11:08:10 AM
Long-term archiving on: : Friday, September 12, 2014 - 11:41:14 AM


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  • HAL Id : hal-01005502, version 1


Laurent Lecornu, Julien Montagner, John Puentes. Reliability evaluation of incomplete AIS trajectories. COST MOVE Workshop on Moving Objects at Sea, Jun 2013, Brest, France. ⟨hal-01005502⟩



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