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Joanna Karbowska-Chilinska1, Jolanta Koszelew1, Krzysztof Ostrowski1

  • 1Faculty of Computer Science, Bialystok University of Technology, 15-351 Bialystok, Poland.

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Summary

This study introduces an anti-collision and shortest trajectory planning strategy using the beam search algorithm (BSA) to enhance maritime safety and reduce fuel consumption. The BSA method proved effective, calculating shorter ship trajectories compared to standard methods.

Keywords:
anti-collision trajectoriesautonomous shipbeam search algorithm (BSA)navigational decision support system

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Area of Science:

  • Maritime Safety
  • Naval Engineering
  • Artificial Intelligence in Navigation

Background:

  • Maritime accidents and high fuel consumption pose significant challenges.
  • Current navigation systems require enhanced strategies for safety and efficiency.

Purpose of the Study:

  • To propose and evaluate an anti-collision and shortest trajectory planning strategy.
  • To improve maritime safety and reduce fuel consumption through intelligent route optimization.

Main Methods:

  • The strategy employs the beam search algorithm (BSA) for trajectory planning.
  • Collision risk is assessed by monitoring the closest point of approach (CPA).
  • Only course alterations, not speed alterations, are considered for collision avoidance.

Main Results:

  • The beam search algorithm (BSA) was implemented in the NAVDEC decision support system.
  • Testing on the m/f Wolin ferry demonstrated the algorithm's effectiveness in real-world navigation.
  • BSA-calculated trajectories were consistently shorter than those from the standard NAVDEC algorithm.

Conclusions:

  • The proposed BSA-based strategy effectively enhances maritime safety and reduces fuel consumption.
  • Intelligent trajectory planning offers a viable solution for optimizing ship navigation.
  • The system shows promise for integration into existing maritime decision support systems.