Finding the optimal vessel route using a modified A-Star algorithm

This paper addresses the problem of determining a safe ship route considering the hydro-meteorological conditions along the route. The solution is proposed using graph theory. The shortest route for an ocean crossing is a Great Circle, so the graph is constructed around the Great Circle. The graph nodes are spaced at intervals corresponding to 12 hours of ship passage. For each node, current and forecasted hydro-meteorological data on wind, waves, and surface currents are assigned. A modified A* (A-Star) algorithm is proposed to solve this problem. Instead of distance, the heuristic function uses the shortest travel time, accounting for speed reductions or increases due to hydrometeorological influences on each segment between adjacent graph vertices. The proposed algorithm demonstrates high speed in finding the optimal path. Computer simulations illustrate the results of the modified algorithm. The results show significant time savings when navigating the optimal route compared to the Great Circle. This method can be used to develop systems for automated planning of optimal routes considering changing environmental conditions.

Authors

Institutions

Publication Details

Journal
Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S O Makarova
Published
2025-07-19
DOI
https://doi.org/10.21821/2309-5180-2025-17-3-418-424
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Finding the optimal vessel route using a modified A-Star algorithm

Arkadii L. Olovyannikov
Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S O Makarova
Maritime Navigation and Safety
article

Finding the optimal vessel route using a modified A-Star algorithm

Arkadii L. Olovyannikov
article en

Abstract

This paper addresses the problem of determining a safe ship route considering the hydro-meteorological conditions along the route. The solution is proposed using graph theory. The shortest route for an ocean crossing is a Great Circle, so the graph is constructed around the Great Circle. The graph nodes are spaced at intervals corresponding to 12 hours of ship passage. For each node, current and forecasted hydro-meteorological data on wind, waves, and surface currents are assigned. A modified A* (A-Star) algorithm is proposed to solve this problem. Instead of distance, the heuristic function uses the shortest travel time, accounting for speed reductions or increases due to hydrometeorological influences on each segment between adjacent graph vertices. The proposed algorithm demonstrates high speed in finding the optimal path. Computer simulations illustrate the results of the modified algorithm. The results show significant time savings when navigating the optimal route compared to the Great Circle. This method can be used to develop systems for automated planning of optimal routes considering changing environmental conditions.

Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S O MakarovaVol. 17(3)
Admiral Nevelskoy Maritime State University (RU)
Openalex Percentile: Top 78%
Maritime Navigation and Safety
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.