Two-phase Path Planning for Fuel-Efficient Safe Navigation

This paper presents a method that combines constraint logic programming with model-based simulation to efficiently generate realistic and COLREG-compliant maritime navigation paths. These paths are generated in two phases: first, an abstract path is derived based on dynamic factors such as the initial position, destination, environmental conditions (e.g., leeway), obstacles, and depth data. Second, the path is implemented in a simulation, and feedback is collected for correction. To reduce the complexity of path planning, we introduce additional constraints in the incremental refinement of path planning, based on the geometric conditions of ships’ movement. Based on preliminary experiments, this has reduced the complexity of the path search space—by up to 90%, thereby improving the overall path planning efficiency.

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Publication Details

Journal
Åbo Akademi University Research Portal
Published
2025-09-24
DOI
https://doi.org/10.5281/zenodo.17120607
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Two-phase Path Planning for Fuel-Efficient Safe Navigation

Åbo Akademi University Research Portal
Geochemistry and Geologic Mapping
article

Two-phase Path Planning for Fuel-Efficient Safe Navigation

article en

Abstract

This paper presents a method that combines constraint logic programming with model-based simulation to efficiently generate realistic and COLREG-compliant maritime navigation paths. These paths are generated in two phases: first, an abstract path is derived based on dynamic factors such as the initial position, destination, environmental conditions (e.g., leeway), obstacles, and depth data. Second, the path is implemented in a simulation, and feedback is collected for correction. To reduce the complexity of path planning, we introduce additional constraints in the incremental refinement of path planning, based on the geometric conditions of ships’ movement. Based on preliminary experiments, this has reduced the complexity of the path search space—by up to 90%, thereby improving the overall path planning efficiency.

Åbo Akademi University Research Portal
Tallinn University of Technology (EE), Åbo Akademi University (FI), Tunis El Manar University (TN)
Openalex Percentile: Top 27%
Geochemistry and Geologic Mapping
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