Dijkstra and A* Algorithms for Algorithmic Optimization of Maritime Routes and Logistics of Offshore Wind Farms

Shipping in complex marine environments requires a balance between navigational safety, minimising travel time and optimising logistics management, which is particularly challenging in areas with geometric obstructions and Offshore Wind Farms (OWFs). This study focuses on the maritime route networks in the Croatian ports of Pula and Rijeka, including the main access routes to OWFs and zones characterised by multiple navigational challenges. The aim of the research is to develop an empirically based and practically applicable framework for the optimisation of sea routes that combines analytical precision with operational efficiency. The parallel application of Dijkstra and A* algorithms enables a comparative analysis between deterministic and heuristic approaches in terms of reducing navigation risk, optimising route costs and ensuring fast logistical access to OWFs. The applied methods include the analysis of real and simulated route networks, the evaluation of statistical route parameters and the visualisation of the results for the evaluation of logistical and operational efficiency. Adaptive heuristic modifications of the A* algorithm, combined with the parallel implementation of Dijkstra’s algorithm, enable dynamic route planning that takes into account real-world conditions, including variations in wind speed and direction. The results obtained provide a comprehensive framework for safe, efficient and logistically optimised navigation in complex marine environments, with direct applications in the maintenance, inspection and operational management of OWFs.

Authors

Institutions

Publication Details

Journal
Journal of Marine Science and Engineering
Published
2025-09-26
DOI
https://doi.org/10.3390/jmse13101863
Citations
1
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
1.15
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dijkstra and A* Algorithms for Algorithmic Optimization of Maritime Routes and Logistics of Offshore Wind Farms

Ivica Skoko, Tatjana Stanivuk, Vice Milin, Toma Bulić
1 citations
Journal of Marine Science and Engineering
Maritime Navigation and Safety
1.15
article

Dijkstra and A* Algorithms for Algorithmic Optimization of Maritime Routes and Logistics of Offshore Wind Farms

Ivica Skoko, Tatjana Stanivuk, Vice Milin, Toma Bulić
article en
1 citations

Abstract

Shipping in complex marine environments requires a balance between navigational safety, minimising travel time and optimising logistics management, which is particularly challenging in areas with geometric obstructions and Offshore Wind Farms (OWFs). This study focuses on the maritime route networks in the Croatian ports of Pula and Rijeka, including the main access routes to OWFs and zones characterised by multiple navigational challenges. The aim of the research is to develop an empirically based and practically applicable framework for the optimisation of sea routes that combines analytical precision with operational efficiency. The parallel application of Dijkstra and A* algorithms enables a comparative analysis between deterministic and heuristic approaches in terms of reducing navigation risk, optimising route costs and ensuring fast logistical access to OWFs. The applied methods include the analysis of real and simulated route networks, the evaluation of statistical route parameters and the visualisation of the results for the evaluation of logistical and operational efficiency. Adaptive heuristic modifications of the A* algorithm, combined with the parallel implementation of Dijkstra’s algorithm, enable dynamic route planning that takes into account real-world conditions, including variations in wind speed and direction. The results obtained provide a comprehensive framework for safe, efficient and logistically optimised navigation in complex marine environments, with direct applications in the maintenance, inspection and operational management of OWFs.

Journal of Marine Science and EngineeringVol. 13(10)
University of Split (HR)
Openalex Percentile: Top 18%
Maritime Navigation and Safety
1.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Dijkstra and A* Algorithms for Algorithmic Optimization of Maritime Routes and Logistics of Offshore Wind Farms — Ivica Skoko, Tatjana Stanivuk, et al. · Journal of Marine Science and Engineering (2025) | TGRS Research Map | TGRS