Temat: Safe Own Ship's Trajectory - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: The Comparison of Safe Control Methods in Marine Navigation in Congested Waters
Autorzy:: Lisowski, J.
Powiązania:: https://bibliotekanauki.pl/articles/116043.pdf
Data publikacji:: 2009
Wydawca:: Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:: marine navigation
Congested Waters
Collision Situation
safe ship control
Decision Supporting Algorithm
Dynamic Programming Method
Linear Programming Method
Safe Own Ship's Trajectory
Opis:: The paper introduces comparison of five methods of safe ship control in collision situation: multi-stage positional non-cooperative and cooperative game, multi-step matrix game, dynamic and kinematics optimisation with neural constrains of state control process. The synthesis of computer navigator decision supporting algorithms with using dual linear programming and dynamic programming methods has been presented. The considerations have been illustrated an examples of a computer simulation the algorithms to determine the safe own ship's trajectory in situation of passing a many of the ships encountered at sea.
Źródło:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2009, 3, 2; 163-172
2083-6473
2083-6481
Pojawia się w:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 2.

Tytuł:: A nature inspired collision avoidance algorithm for ships
Autorzy:: Lazarowska, A.
Powiązania:: https://bibliotekanauki.pl/articles/24201448.pdf
Data publikacji:: 2023
Wydawca:: Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:: collision avoidance algorithm
safe own Ship's Trajectory
safe navigation
ant colony optimization
firefly agorithm
path planning
swarm intelligence
nature inspired computing
Opis:: Nature inspired algorithms are regarded as a powerful tool for solving real life problems. They do not guarantee to find the globally optimal solution, but can find a suboptimal, robust solution with an acceptable computational cost. The paper introduces an approach to the development of collision avoidance algorithms for ships based on the firefly algorithm, classified to the swarm intelligence methods. Such algorithms are inspired by the swarming behaviour of animals, such as e.g. birds, fish, ants, bees, fireflies. The description of the developed algorithm is followed by the presentation of simulation results, which show, that it might be regarded as an efficient method of solving the collision avoidance problem. Such algorithm is intended for use in the Decision Support System or in the Collision Avoidance Module of the Autonomous Navigation System for Maritime Autonomous Surface Ships.
Źródło:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2023, 17, 2; 341--346
2083-6473
2083-6481
Pojawia się w:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Informacja

Wyszukujesz frazę "Safe Own Ship's Trajectory" wg kryterium: Temat

Źródło danych

Dostawca treści

Kolekcja

Rok wydania

Wydawca

Temat

Autor

Typ dokumentu

Język