Effect of ship neural domain shape on safe and optimal trajectory

• Autorzy: Lisowski J.

Identyfikatory

DOI

10.12716/1001.17.01.20

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

artificial neural network model; method for optimization; dynamic programming method; ship safety domain; safe ship control; path planning; multi-object decision model; computer simulation

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2023
• Tom: Vol. 17 No. 1
• Strony: 185--191
• Opis fizyczny: Bibliogr. 22 poz., rys., tab.

Twórcy

autor

Lisowski J.

• Gdynia Maritime University, Gdynia, Poland

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).