An Improved D* Lite-Based Dynamic Route Planning Algorithm for Ships in Arctic Waters

The ice conditions in Arctic waters are complex and variable, requiring ships to dynamically adjust their routes to ensure safe and efficient navigation. Traditional dynamic path planning algorithms struggle to address the extensive variability of Arctic ice conditions. To tackle this issue, this paper improves the D* Lite algorithm by leveraging the gradual and convergent nature of Arctic ice condition changes. The original algorithm’s local update and path extraction rules are modified to prevent chain updates triggered by minor localized changes, thereby reducing the frequency of updates in non-critical areas. By simulating dynamic route planning for ships in Arctic waters during both the freezing and melting periods, the improved D* Lite algorithm was compared with the original D* Lite algorithm and a global update algorithm in terms of voyage distance, risk coefficient, planning time, and the number of node updates. The computational results demonstrate that the improved D* Lite algorithm achieves planning results very similar to those of the original D* Lite algorithm and the global update algorithm at the lowest update cost, significantly enhancing the safety and efficiency of dynamic route planning for ships in Arctic waters.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2024-12-18
DOI
https://doi.org/10.3390/jmse12122323
Citations
7
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
2.35

Funders

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article

An Improved D* Lite-Based Dynamic Route Planning Algorithm for Ships in Arctic Waters

Kun Xiong, Qinyou Hu, Haoran Yang, Tie Xu et al.
7 citations
Journal of Marine Science and Engineering
Maritime Navigation and Safety
2.35
article

An Improved D* Lite-Based Dynamic Route Planning Algorithm for Ships in Arctic Waters

Kun Xiong, Qinyou Hu, Haoran Yang, Tie Xu, Jun Ma
article en
7 citations

Abstract

The ice conditions in Arctic waters are complex and variable, requiring ships to dynamically adjust their routes to ensure safe and efficient navigation. Traditional dynamic path planning algorithms struggle to address the extensive variability of Arctic ice conditions. To tackle this issue, this paper improves the D* Lite algorithm by leveraging the gradual and convergent nature of Arctic ice condition changes. The original algorithm’s local update and path extraction rules are modified to prevent chain updates triggered by minor localized changes, thereby reducing the frequency of updates in non-critical areas. By simulating dynamic route planning for ships in Arctic waters during both the freezing and melting periods, the improved D* Lite algorithm was compared with the original D* Lite algorithm and a global update algorithm in terms of voyage distance, risk coefficient, planning time, and the number of node updates. The computational results demonstrate that the improved D* Lite algorithm achieves planning results very similar to those of the original D* Lite algorithm and the global update algorithm at the lowest update cost, significantly enhancing the safety and efficiency of dynamic route planning for ships in Arctic waters.

Journal of Marine Science and EngineeringVol. 12(12)
Shanghai Maritime University (CN)
National Natural Science Foundation of China
Life below water
Openalex Percentile: Top 12%
Maritime Navigation and Safety
2.35
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