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An enhanced ship collision-avoidance method using Q-learning-Optimized VO-PSO-Q-learning algorithm

delete2025-11-15
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PRE
AI
X
Xiaoqiong Wang
李永丽 cover
李永丽 (Yongli Li)
甘浪雄 (Langxiong Gan)
马勇 (Yong Ma)
DOI:10.1016/j.oceaneng.2025.123395delete
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Abstract

Abstract

En 中文
• A Q-PSO framework was developed for multi-ship path planning and collision avoidance. • A PID-based self-correcting navigation mechanism was designed to ensure route recovery. • The multi-physics model coupling environment and ship improves path reliability.

Journal

Ocean Engineering cover
Ocean Engineering
IF:
5.5
Papers:
5.8K
Citations:
7.6W

Organization

W
Wuhan University of Technology
Scholars:
3.4W
Papers: 2.4W
Citations: 4.4W