Artificial Intelligence Technologies in the Implementation of the e-Navigation Concept

A. A. Burykin, M. N. Grachev and S. V. Kolesnichenko
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A. A. Burykin: Admiral Makarov State University of Maritime and Inland Shipping
M. N. Grachev: PPF Meridian JSC
S. V. Kolesnichenko: Admiral Makarov State University of Maritime and Inland Shipping

A chapter in Challenges and Solutions in the Digital Economy and Finance, 2022, pp 351-356 from Springer

Abstract: Abstract Based on the experience of developing shipboard automated control systems and integrated bridge systems, the article provides brief information on ways to implement the principles of e-Navigation, considering the current state of information technology and in terms of navigation safety in Arctic areas with difficult ice conditions. The approaches to the implementation of an “intelligent” integrated bridge system that ensures the wiring of a caravan of ships behind an icebreaker are proposed.

Keywords: e-Navigation; Automated control systems; Integrated bridge systems; Navigation safety; Artificial neural network; Production rules; Expert system (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-14410-3_36

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DOI: 10.1007/978-3-031-14410-3_36

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