Generalized Behavior Decision-Making Model for Ship Collision Avoidance via Reinforcement Learning Method

Due to the increasing number of transportation vessels, marine traffic has become more congested. According to the statistics, 89% to 95% of maritime accidents are related to human factors. In order to reduce marine incidents, ship automatic collision avoidance has become one of the most important r...

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Principais autores:	Wei Guan, Ming-yang Zhao, Cheng-bao Zhang, Zhao-yong Xi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-01-01
Colecção:	Journal of Marine Science and Engineering
Assuntos:	reinforcement learning multi-ship encounter situations collision avoidance obstacle zone by target (OZT) intelligent decision-making
Acesso em linha:	https://www.mdpi.com/2077-1312/11/2/273
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