Journal is indexed in following databases:

2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4




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
Development of a 3D Dynamic Programming Method for Weather Routing
1 University of Strathclyde, Scotland, Glasgow, United Kingdom
ABSTRACT: This paper presents a novel forward dynamic programming method for weather routing to minimize ship fuel consumption during a voyage. Compared with the traditional two dimensional dynamic programming (2DDP) methods which only optimize the ship's heading, while the engine power or propeller rotation speed are set as a constant throughout the voyage, this new method considers both the ship power setting and heading control. A float state technique is used to reduce the iteration on the process of optimization for computing time saving. This new method could lead to a real global-optimal routing in a comparison with a tradition weather routing method which results in a sub-optimal routing.
Aligne F, Papageorgiou M, & Walter E. 1998. Incorporating power variations into weather routing and why it may lead to better results. IFAC Control Applications in Marine Systems, Fukuoka, Japan, pp 269-274.
Bijlsma S.J. 1975. On minimal-time ship routing. PhD thesis. Royal Netherlands Meteorological Institute, Delft University of Technology.
Calvert S, Deakins E & R. Motte. 1991. A dynamic system for fuel optimisation trans-ocean. Journal of Navigation 44(2): 233-265.
Calvert S. 1990. Optimal weather routeing procedures for vessels on trans-oceanic voyages. PhD thesis, Polytechnic South West.
Chen H. 1978. A dynamic program for minimum cost ship routing under uncertainty. PhD thesis, Dept. of Ocean Engineering, Massachusetts Institute of Technology.
Chinmaya Prasad Padhy, Debabrata Sen, & Prasad Kumar Bhaskaran. 2008. Application of wave model for weather routing of ships in the North Indian Ocean. Natural Hazards 44(3): 373-385.
De Wit C. 1990. Proposal for low cost ocean weather routeing. Journal of Navigation 43(3): 428-439.
Hagiwara H & Spaans JA. 1987. Practical weather routeing of sail-assisted motor vessels. Journal oF Navigation 40: 96-119.
Hagiwara H. 1989. Weather routing of (sail-assisted) motor vessels. PhD thesis, Delft University of Technology.
Harries S, Hinnenthal J.2004. A systematic study on posing and solving the problem of pareto optimal ship routing. 3rd International Conference on Computer Applications and Information Technology in the Maritime Industries (COMPIT 2004), Siguenza, Spain.
Klompstra M.B, Olsde GJ & Van Brunschot Pkgm. 1992. The isopone method in optimal control. Dynamics and Control 2(3):281-301.
Kyriakos Avgouleas. 2008. Optimal ship routing. Msc thesis, Massachusetts Institute of Technology.
Masaru Tsujimoto, Katsuji Tanizawa (2006) Development of a weather adaptive navigation system considering ship performance in actual seas. Proceedings of OMAE2006 25th International Conference on Offshore Mechanics and Arctic Engineering, Hamburg, Germany.
Spaans J.A. 1995. New developments in ship weather routing. Navigation 169: 95-106
Citation note:
Wei S., Zhou P.: Development of a 3D Dynamic Programming Method for Weather Routing. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 6, No. 1, pp. 79-85, 2012

File downloaded 2203 times

Important: cookie usage
The website uses certain cookies. A cookie is a text-only string of information that the TransNav.EU website transfers to the cookie file of the browser on your computer. Cookies allow the website to perform properly and remember your browsing history. Cookies also help a website to arrange content to match your preferred interests more quickly. Cookies alone cannot be used to identify you.
Akceptuj─Ö pliki cookies z tej strony