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Related Concept Videos

Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

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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
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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.

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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.