Research Article

Numerical solutions to Zermelo’s navigation problem under variable ocean current fields

Volume: 15 Number: 1 March 31, 2026

Numerical solutions to Zermelo’s navigation problem under variable ocean current fields

Abstract

Zermelo’s navigation problem seeks the time-optimal heading strategy for a vessel of fixed speed navigating through a variable ocean current field. This paper reformulates the problem as an optimal control problem governed by the dynamic Hamilton-Jacobi-Bellman (HJB) equation and implements two complementary numerical solvers: a grid-based Eulerian level-set scheme (Method I) and a Lagrangian extremal field algorithm (Method II). Convergence is analysed within the viscosity solution framework, yielding (ℎ1/2) and (ℎ) rate bounds under Lipschitz and semiconcavity conditions, respectively. Grid refinement studies on a Rankine vortex and a double-gyre circulation confirm that Method I achieves 𝑂(ℎ3/2) in smooth regimes and degrades to 𝑂(ℎ0.48) under strong currents, while Method II reaches 𝑂(ℎ1.00) and 𝑂(ℎ0.76) in the same settings. Globally optimal 15-day routes for an Adriatic Sea mission are computed in under one minute on a standard workstation, confirming operational feasibility. This study presents a direct comparison of Eulerian and Lagrangian numerical formulations for Zermelo’s navigation problem and analyses their convergence behaviour within the viscosity solution framework. The results provide practical guidance for numerical method selection and grid resolution in time-optimal ship routing problems.

Keywords

Supporting Institution

This study was carried out without financial support from any institution.

Ethical Statement

For this type of study, formal consent is not required.

Thanks

This work received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. Oceanographic velocity data for the Adriatic Sea benchmark were obtained from the Mediterranean Sea Physics Reanalysis product distributed by the Copernicus Marine Environment Monitoring Service (CMEMS), dataset identifier MEDSEA_MULTIYEAR_PHY_006_004; the specific mission scenario follows the configuration of Lolla et al. (2014). Computational experiments were performed on a standard workstation (Intel Core i7, 16 GB RAM) without dedicated HPC resources.

References

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  2. Alan, A. R., Bayındır, C., Özaydın, F., & Altıntaş, A. A. (2023). The predictability of the 30 October 2020 İzmir–Samos tsunami hydrodynamics and enhancement of its early warning time by LSTM deep learning network. Water, 15(23), 4195. https://doi.org/10.3390/w15234195
  3. Aldea, N., & Kopacz, P. (2021). Generalized loxodromes with application to time-optimal navigation in arbitrary wind. Journal of the Franklin Institute, 358(1), 776-799. https://doi.org/10.1016/j.jfranklin.2020.11.009
  4. Aldea, N., & Kopacz, P. (2025). Time geodesics on a slippery cross slope under gravitational wind. Nonlinear Analysis: Real World Applications, 81, 104177. https://doi.org/10.1016/j.nonrwa.2024.104177
  5. Bao, D., Robles, C., & Shen, Z. (2004). Zermelo navigation on Riemannian manifolds. Journal of Differential Geometry, 66(3), 377-435. https://doi.org/10.4310/jdg/1098137838
  6. Bardi, M., & Capuzzo-Dolcetta, I. (2008). Optimal control and viscosity solutions of Hamilton-Jacobi-Bellman equations [Reprint of the 1997 edition]. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4755-1
  7. Bayındır, C., Ozaydin, F., Altintas, A. A., Eristi, T., & Alan, A. R. (2024). Lagrangian drifter path identification and prediction: SINDy vs neural ODE. arXiv preprint 2411.04350. https://doi.org/10.48550/arXiv.2411.04350
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Details

Primary Language

English

Subjects

Ocean Engineering

Journal Section

Research Article

Publication Date

March 31, 2026

Submission Date

March 2, 2026

Acceptance Date

March 30, 2026

Published in Issue

Year 2026 Volume: 15 Number: 1

APA
Çalışır, V. (2026). Numerical solutions to Zermelo’s navigation problem under variable ocean current fields. Marine Science and Technology Bulletin, 15(1), 37-52. https://doi.org/10.33714/masteb.1900720
AMA
1.Çalışır V. Numerical solutions to Zermelo’s navigation problem under variable ocean current fields. Mar. Sci. Tech. Bull. 2026;15(1):37-52. doi:10.33714/masteb.1900720
Chicago
Çalışır, Vahit. 2026. “Numerical Solutions to Zermelo’s Navigation Problem under Variable Ocean Current Fields”. Marine Science and Technology Bulletin 15 (1): 37-52. https://doi.org/10.33714/masteb.1900720.
EndNote
Çalışır V (March 1, 2026) Numerical solutions to Zermelo’s navigation problem under variable ocean current fields. Marine Science and Technology Bulletin 15 1 37–52.
IEEE
[1]V. Çalışır, “Numerical solutions to Zermelo’s navigation problem under variable ocean current fields”, Mar. Sci. Tech. Bull., vol. 15, no. 1, pp. 37–52, Mar. 2026, doi: 10.33714/masteb.1900720.
ISNAD
Çalışır, Vahit. “Numerical Solutions to Zermelo’s Navigation Problem under Variable Ocean Current Fields”. Marine Science and Technology Bulletin 15/1 (March 1, 2026): 37-52. https://doi.org/10.33714/masteb.1900720.
JAMA
1.Çalışır V. Numerical solutions to Zermelo’s navigation problem under variable ocean current fields. Mar. Sci. Tech. Bull. 2026;15:37–52.
MLA
Çalışır, Vahit. “Numerical Solutions to Zermelo’s Navigation Problem under Variable Ocean Current Fields”. Marine Science and Technology Bulletin, vol. 15, no. 1, Mar. 2026, pp. 37-52, doi:10.33714/masteb.1900720.
Vancouver
1.Vahit Çalışır. Numerical solutions to Zermelo’s navigation problem under variable ocean current fields. Mar. Sci. Tech. Bull. 2026 Mar. 1;15(1):37-52. doi:10.33714/masteb.1900720

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