Vessel Profile Indicators using Fuzzy Logic Reasoning and AIS
Konstantinos Chatzikokolakis, Dimitrios Zissis, Giannis Spiliopoulos
UBICOMM, 2018
Abstract
Early vessel profiling and risk assessment is a critical component of advanced maritime tracking systems, required by a number of maritime stakeholders including custom controls, port authorities, coastguards and others. This paper reports on the development of a fuzzy logic reasoning tool for generating maritime vessel profile indicators through the Automatic Identification System (AIS). The report describes the need and the underlying statistical methods applied, which are based on Fuzzy Logic Reasoning, for finding potential profile indicators and classifying vessels to a degree of “risk”, thus requiring further examination and monitoring. Under conservative assumptions, some preliminary results about the probabilities and boundaries of potential indicators are presented and discussed.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 732310.
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