Reliability Evaluation of Incomplete AIS Trajectories

bretagne.eu Abstract. Automatic Identification System (AIS) data are prone to alterations that impede signal storage, pro-ducing incomplete trajectories. Since trajectory analysis assumes complete AIS data sets, incomplete trajectories are discarded. Yet, those data sets con-tain 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 vari-ations of recorded and predicted vessel positions. The approach was tested on real AIS data of three vessels. Results suggest that reliability can be de-termined from vessel speed and heading variations