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A path planning approach for ship collision avoidance integrating BRB reasoning and velocity obstacle algorithm.
Minmin Zheng1, Shuwu Wang2, Haiyang Tu1
1Shanghai Ship & Shipping Research Institute Co., Ltd., Shanghai, China.
Plos One
|June 17, 2026
Summary
This study introduces a new method for ship collision avoidance using Belief-Rule-Based (BRB) reasoning and the Velocity Obstacle (VO) algorithm. It enhances maritime safety and efficiency in crowded shipping lanes.
Area of Science:
- Maritime Navigation and Safety
- Artificial Intelligence in Transportation Systems
- Robotics and Autonomous Systems
Background:
- Collision avoidance in dense maritime traffic presents significant challenges.
- Existing methods struggle with complex, multi-ship encounter scenarios.
Purpose of the Study:
- To develop an integrated approach for reliable ship collision avoidance.
- To enhance navigational safety and operational efficiency in congested waters.
Main Methods:
- Integration of Belief-Rule-Based (BRB) reasoning for ship grouping.
- Application of the Velocity Obstacle (VO) algorithm for trajectory generation.
- Dynamic adjustment of safety domain radius based on ship length and grouping.
Main Results:
- BRB effectively reduces decision-making complexity by grouping ships.
- VO algorithm generates safe and feasible avoidance paths.
- Demonstrated improvements in navigational safety and operational efficiency in simulations.
Conclusions:
- The proposed BRB-VO integrated approach offers a robust solution for multi-ship collision avoidance.
- This method supports intelligent decision-making for maritime safety management.
- Contributes to sustainable development within the shipping industry.
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