Dynamic route planning based on multilayer fuzzy comprehensive evaluation and applications

Abstract This paper presents a multi-objective model for ship ocean route planning, which integrates ship vulnerability and meteorological-oceanographic factors for comprehensive risk assessment, while taking IMO regulations as hard constraints. To validate the effectiveness of the model, a case study was conducted on a container ship operating in the Marshall Islands. The results indicate that the planned route generated by our model has a high similarity of 90% with the original planned route, ensuring the entire voyage’s safety. Specifically, the distance error is only 1.62%, the curve fitting excellence reaches 98.71%, and the percentage of risk error is 4.72%. These data demonstrate that the difference between the planned route and the actual route is relatively small, validating the model’s ability to maintain high planning efficiency and accuracy while ensuring route safety.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-05-01
DOI
https://doi.org/10.1088/1742-6596/3007/1/012022
Primary Topic
Data Management and Algorithms
Type
article
Field-Weighted Citation Impact
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article

Dynamic route planning based on multilayer fuzzy comprehensive evaluation and applications

Longxia Qian, Yingying Wang, Hanlin Li
Journal of Physics Conference Series
Data Management and Algorithms
article

Dynamic route planning based on multilayer fuzzy comprehensive evaluation and applications

Longxia Qian, Yingying Wang, Hanlin Li
article en

Abstract

Abstract This paper presents a multi-objective model for ship ocean route planning, which integrates ship vulnerability and meteorological-oceanographic factors for comprehensive risk assessment, while taking IMO regulations as hard constraints. To validate the effectiveness of the model, a case study was conducted on a container ship operating in the Marshall Islands. The results indicate that the planned route generated by our model has a high similarity of 90% with the original planned route, ensuring the entire voyage’s safety. Specifically, the distance error is only 1.62%, the curve fitting excellence reaches 98.71%, and the percentage of risk error is 4.72%. These data demonstrate that the difference between the planned route and the actual route is relatively small, validating the model’s ability to maintain high planning efficiency and accuracy while ensuring route safety.

Journal of Physics Conference SeriesVol. 3007(1)
China Meteorological Administration (CN), Nanjing University of Posts and Telecommunications (CN)
Openalex Percentile: Top 86%
Data Management and Algorithms
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