Academic AIS Receiver – Application of Artificial Intelligence Methods to Improve the Safety of Non-Commercial Maritime Voyages
DOI:
https://doi.org/10.34767/SIMIS.2024.01.05Keywords:
AIS, marine navigation, methods artificial intelligence, OFNAnt, ADPO, OFNBee, AA0Abstract
In this article, the authors describe a project conducted by the Academic Laboratory of Artificial Intelligence and Robotics, aimed at developing optimization methods using artificial intelligence to improve the safety of small non-commercial vessels, such as tourist yachts. The research focused on creating or modernizing technologies that support navigation and maritime safety. Although the SOLAS convention mandates the use of systems like AIS (Automatic Identification System) on commercial ships, non-commercial yachts often do not employ such solutions due to economic reasons. AIS allows continuous exchange of navigational data between vessels. The project involved receiving and visualizing this data, without transmitting it. The goal was to create a low-cost and effective solution that enhances yacht safety without imposing significant financial burdens on their owners. The project was tentatively named the "Academic AIS Receiver." The research results presented experiments using OFNAnt, ADPO, OFNBee, and AA0 methods, alongside classical heuristics in transport logistics, with AI methods generally outperforming traditional approaches.
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