Making Sense of Heterogeneous Maritime Data

Pitsikalis, Manolis, Lisitsa, Alexei, Totzke, Patrick ORCID: 0000-0001-5274-8190 and Lee, Simon
(2022) Making Sense of Heterogeneous Maritime Data. In: 2022 23rd IEEE International Conference on Mobile Data Management (MDM), 2022-6-6 - 2022-6-9.

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While an abundance of real-time maritime information exists and is readily available to monitoring authorities, there are still many instances in which ships are found to be engaged in dangerous or illegal activities. In order to prevent such activities, authorities employ Vessel Traffic Services systems since they promote safety at sea while also assisting in management of ports. In this paper we report on research done in cooperation with Denbridge Marine Ltd., a global provider of maritime solutions, and present an application integrated in a Vessel Tracking Services system that allows the detection of normal vessel activity as well as dangerous or illegal situations in real-time, using information from the Automatic Identification System, a radar sensor and other information. We use a set of phenomena representing maritime activities of interest in the language of Phenesthe, our Complex Event Processing engine, and detect them on real maritime data streams from the area of Liverpool, United Kingdom. We evaluate our application and show that our system is capable of detecting and visualising maritime activities on the map in real time. Finally, we study and demonstrate the significance of using data from the Automatic Identification System along with radar data for maritime monitoring.

Item Type: Conference or Workshop Item (Unspecified)
Uncontrolled Keywords: AIS, complex event processing, maritime monitoring, RADAR, temporal logic
Divisions: Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User: Symplectic Admin
Date Deposited: 18 Jul 2023 09:50
Last Modified: 18 Jul 2023 10:36
DOI: 10.1109/MDM55031.2022.00089
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