Journal is indexed in following databases:

2022 Journal Impact Factor - 0.6
2022 CiteScore - 1.7




ISSN 2083-6473
ISSN 2083-6481 (electronic version)




Associate Editor
Prof. Tomasz Neumann

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
The Concept of Determining the Ship’s Route Based on the Capability Plots
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: Every year, new vessels equipped with dynamic positioning (DP) systems are built in shipyards around the world. Due to the increasing number of offshore vessels, a client hiring a vessel should analyse the vessel's positioning capability charts to determine which water areas the vessel is designed for. These charts are represented as polar diagrams. In the centre of the chart is a shape symbolising the ship's body, and the values on the chart represent the maximum wind speed that can affect the ship at a given angle, at which the vessel will maintain its position. Vessel capability charts can also be used by the crew during thrusters failures to determine at what angle to the wind direction the vessel should stand to minimise the impact of wind forces. Analyses that determine a vessel's ability to keep position can be performed by classification societies or other companies with approval from classification societies. The article presents the concept of a pathfinding algorithm to determines the route of the ship’s passage with minimal energy consumption. The algorithm uses the information about environmental forces affecting the ship and information about thrust allocation obtained from Capability Plots.
A. Przybyłowski, “Sustainable urban mobility planning: Gdynia city case study,” EiP, vol. 17, no. 2, p. 195, 2018, doi: 10.12775/EiP.2018.014. - doi:10.12775/EiP.2018.014
Z. Burciu, T. Abramowicz-Gerigk, W. Przybyl, I. Plebankiewicz, and A. Januszko, “The Impact of the Improved Search Object Detection on the SAR Action Success Probability in Maritime Transport,” Sensors (Basel, Switzerland), vol. 20, no. 14, 2020. - doi:10.3390/s20143962
T. Abramowicz-Gerigk and Z. Burciu, “Design and Operational Innovations in Adapting the Existing Merchant River Fleet to Cost-Effective Shipping,” Polish Maritime Research, vol. 26, no. 4, pp. 157–164, 2019, doi: 10.2478/pomr-2019-0078. - doi:10.2478/pomr-2019-0078
K. S. Kula, “Automatic Control of Ship Motion Conducting Search in Open Waters,” Polish Maritime Research, vol. 27, no. 4, pp. 157–169, 2020, doi: 10.2478/pomr-2020-0076. - doi:10.2478/pomr-2020-0076
G. Chen, T. Wu, and Z. Zhou, “Research on Ship Meteorological Route Based on A-Star Algorithm,” Mathematical Problems in Engineering, vol. 2021, pp. 1–8, 2021, doi: 10.1155/2021/9989731. - doi:10.1155/2021/9989731
Y. Liu, T. Wang, and H. Xu, “PE-A* Algorithm for Ship Route Planning Based on Field Theory,” IEEE Access, vol. 10, pp. 36490–36504, 2022, doi: 10.1109/ACCESS.2022.3164422. - doi:10.1109/ACCESS.2022.3164422
J. Yu et al., “Path planning of unmanned surface vessel in an unknown environment based on improved D*Lite algorithm,” Ocean Engineering, vol. 266, p. 112873, 2022, doi: 10.1016/j.oceaneng.2022.112873. - doi:10.1016/j.oceaneng.2022.112873
J. Zhang, H. Zhang, J. Liu, Da Wu, and C. G. Soares, “A Two-Stage Path Planning Algorithm Based on Rapid-Exploring Random Tree for Ships Navigating in Multi-Obstacle Water Areas Considering COLREGs,” JMSE, vol. 10, no. 10, p. 1441, 2022, doi: 10.3390/jmse10101441. - doi:10.3390/jmse10101441
J. Lisowski, “Synthesis of a Path-Planning Algorithm for Autonomous Robots Moving in a Game Environment during Collision Avoidance,” Electronics, vol. 10, no. 6, p. 675, 2021, doi: 10.3390/electronics10060675. - doi:10.3390/electronics10060675
J. Kruszewski and M. Mohamed-Seghir, “Concept of ‘Sail by Wire’ controller for a ship’s propulsion system from an unmanned ship perspective,” Journal of Marine Engineering & Technology, vol. 16, no. 4, pp. 185–192, 2017, doi: 10.1080/20464177.2017.1383340. - doi:10.1080/20464177.2017.1383340
J. Lisowski and M. Mohamed-Seghir, “Comparison of Computational Intelligence Methods Based on Fuzzy Sets and Game Theory in the Synthesis of Safe Ship Control Based on Information from a Radar ARPA System,” Remote Sensing, vol. 11, no. 1, p. 82, 2019, doi: 10.3390/rs11010082. - doi:10.3390/rs11010082
R. Saga, Z. Liang, N. Hara, and Y. Nihei, “Optimal Route Search Based on Multi-objective Genetic Algorithm for Maritime Navigation Vessels,” in Lecture Notes in Computer Science, Human Interface and the Management of Information. Interacting with Information, S. Yamamoto and H. Mori, Eds., Cham: Springer International Publishing, 2020, pp. 506–518. - doi:10.1007/978-3-030-50017-7_38
K. Al-Hamad, M. Al-Ibrahim, and E. Al-Enezy, “A Genetic Algorithm for Ship Routing and Scheduling Problem with Time Window,” AJOR, vol. 02, no. 03, pp. 417–429, 2012, doi: 10.4236/ajor.2012.23050. - doi:10.4236/ajor.2012.23050
P.-F. Li, H.-B. Wang, and D.-Q. He, “Ship weather routing based on improved ant colony optimization algorithm,” in 2018 IEEE Industrial Cyber-Physical Systems (ICPS), St. Petersburg, 2018, pp. 310–315.
U.-J. Lee, W.-M. Jeong, and H.-Y. Cho, “Estimation and Analysis of JONSWAP Spectrum Parameter Using Observed Data around Korean Coast,” JMSE, vol. 10, no. 5, p. 578, 2022, doi: 10.3390/jmse10050578. - doi:10.3390/jmse10050578
X. Chen et al., “Infrared Ocean Image Simulation Algorithm Based on Pierson–Moskowitz Spectrum and Bidirectional Reflectance Distribution Function,” Photonics, vol. 9, no. 3, p. 166, 2022, doi: 10.3390/photonics9030166. - doi:10.3390/photonics9030166
Det Norske Veritas, DNV main page. [Online]. Available: (accessed: Feb. 25 2023).
Citation note:
Wnorowski J., Łebkowski A.: The Concept of Determining the Ship’s Route Based on the Capability Plots. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 17, No. 1, doi:10.12716/1001.17.01.21, pp. 193-197, 2023
Authors in other databases:
Jakub Wnorowski:

Other publications of authors:

A. Łebkowski, R. Śmierzchalski, W. Gierusz, K. Dziedzicki

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