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Chunyu Song1, Teer Guo1, Jianghua Sui2

  • 1Navigation and Ship Engineering College, Dalian Ocean University, 116023, Dalian, China.

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Summary

This study introduces an improved A* algorithm for safer ship navigation in complex waters. The enhanced algorithm reduces planning time and path length by incorporating collision risk assessment.

Keywords:
Collision risk functionImproved A* algorithmMulti-scale nautical chartsOptimal path planningSafety of navigation in complex sea areas

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Area of Science:

  • Maritime Engineering
  • Artificial Intelligence
  • Navigation Systems

Background:

  • Ship navigation in complex sea areas presents significant safety and efficiency challenges.
  • Traditional path planning algorithms often struggle with dynamic risk assessment and computational load.

Purpose of the Study:

  • To develop an improved A* algorithm for optimal and safe ship route planning in complex maritime environments.
  • To enhance path planning efficiency by integrating collision risk assessment.

Main Methods:

  • An improved A* algorithm was developed, incorporating a collision risk function to optimize node costs.
  • Multi-scale raster maps and the Line-of-sight (LOS) algorithm were utilized for sea chart division and zigzag path mitigation.
  • The algorithm was tested via simulation in the complex Zhoushan Islands sea area.

Main Results:

  • The improved A* algorithm demonstrated a 30% reduction in path planning time and an 11% decrease in expanded nodes.
  • Path length was reduced by 5.8% compared to the original algorithm.
  • The enhanced algorithm effectively balances path length and collision risk, improving overall planning quality.

Conclusions:

  • The proposed improved A* algorithm offers a more efficient and safer route planning strategy for smart ships in complex sea areas.
  • This approach significantly reduces computational burden, making it suitable for real-time applications.
  • The study provides a scientific basis for advanced autonomous navigation systems.