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2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Effect of Ship Neural Domain Shape on Safe and Optimal Trajectory
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: This article presents the task of safely guiding a ship, taking into account the movement of many other marine units. An optimally neural modified algorithm for determining a safe trajectory is presented. The possible shapes of the domains assigned to other ships as traffic restrictions for the particular ship were subjected to a detailed analysis. The codes for the computer program Neuro-Constraints for generating these domains are presented. The results of the simulation tests of the algorithm for a navigational situation are presented. The safe trajectories of the ship were compared at different distances, changing the sailing conditions and ship sizes.
KEYWORDS: Computer Simulation, Safe Ship Control, Dynamic Programming Method, Multi-Object Decision Model, Path Planning, Ship Safety Domain, Method for Optimization, Artificial Neural Network Model
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Citation note:
Lisowski J.: Effect of Ship Neural Domain Shape on Safe and Optimal Trajectory. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 17, No. 1, doi:10.12716/1001.17.01.20, pp. 185-191, 2023
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