Transoceanic routes optimization using dynamic properties of ship and weather conditions

Margarita V. Sotnikova; Evgeny I. Veremey; Maxim V. Korovkin

doi:10.1109/CNSA.2017.7974017

Transoceanic routes optimization using dynamic properties of ship and weather conditions

Margarita V. Sotnikova, Evgeny I. Veremey, Maxim V. Korovkin

Кафедра компьютерных технологий и систем

Research output

1 Citation (Scopus)

Abstract

This paper is devoted to the problem of optimal weather routing for transoceanic ship voyages. The goal of optimization is to reduce travel time and fuel consumptions. The optimal route is searched on the admissible set, which comprises routes satisfying all of the imposed static and dynamic constraints. The static constraints are represented mostly by coastal lines and shallow waters. The dynamic constraints are time-varying alarm zones restricted for ship motion due to dangerous weather conditions. The proposed route optimization algorithm uses long-term weather forecast for a sailing region and a mathematical model of ship motion. The key feature of algorithm is the three-dimensional representation of the route, which allows transforming initial finite-dimensional optimization problem to the problem of path finding on special graph.

Original language	English
Title of host publication	2017 Constructive Nonsmooth Analysis and Related Topics (Dedicated to the Memory of V.F. Demyanov), CNSA 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509062607
DOIs	https://doi.org/10.1109/CNSA.2017.7974017
Publication status	Published - 10 Jul 2017
Event	2017 Constructive Nonsmooth Analysis and Related Topics (Dedicated to the Memory of V.F. Demyanov), CNSA 2017: dedicated to the Memory of V.F. Demyanov - Saint-Petersburg Duration: 21 May 2017 → 26 May 2017 http://www.pdmi.ras.ru/EIMI/2017/CNSA/

Conference

Conference	2017 Constructive Nonsmooth Analysis and Related Topics (Dedicated to the Memory of V.F. Demyanov), CNSA 2017
Abbreviated title	CNSA 2017
Country	Russian Federation
City	Saint-Petersburg
Period	21/05/17 → 26/05/17
Internet address	http://www.pdmi.ras.ru/EIMI/2017/CNSA/

Scopus subject areas

Modelling and Simulation
Analysis
Applied Mathematics
Control and Optimization

Access to Document

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Sotnikova, M. V., Veremey, E. I., & Korovkin, M. V. (2017). Transoceanic routes optimization using dynamic properties of ship and weather conditions. In 2017 Constructive Nonsmooth Analysis and Related Topics (Dedicated to the Memory of V.F. Demyanov), CNSA 2017 - Proceedings [7974017] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CNSA.2017.7974017

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title = "Transoceanic routes optimization using dynamic properties of ship and weather conditions",

abstract = "This paper is devoted to the problem of optimal weather routing for transoceanic ship voyages. The goal of optimization is to reduce travel time and fuel consumptions. The optimal route is searched on the admissible set, which comprises routes satisfying all of the imposed static and dynamic constraints. The static constraints are represented mostly by coastal lines and shallow waters. The dynamic constraints are time-varying alarm zones restricted for ship motion due to dangerous weather conditions. The proposed route optimization algorithm uses long-term weather forecast for a sailing region and a mathematical model of ship motion. The key feature of algorithm is the three-dimensional representation of the route, which allows transforming initial finite-dimensional optimization problem to the problem of path finding on special graph.",

author = "Sotnikova, {Margarita V.} and Veremey, {Evgeny I.} and Korovkin, {Maxim V.}",

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note = "2017 Constructive Nonsmooth Analysis and Related Topics (Dedicated to the Memory of V.F. Demyanov), CNSA 2017 : dedicated to the Memory of V.F. Demyanov, CNSA 2017 ; Conference date: 21-05-2017 Through 26-05-2017",

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Sotnikova, MV , Veremey, EI & Korovkin, MV 2017, Transoceanic routes optimization using dynamic properties of ship and weather conditions. in 2017 Constructive Nonsmooth Analysis and Related Topics (Dedicated to the Memory of V.F. Demyanov), CNSA 2017 - Proceedings., 7974017, Institute of Electrical and Electronics Engineers Inc., 2017 Constructive Nonsmooth Analysis and Related Topics (Dedicated to the Memory of V.F. Demyanov), CNSA 2017, Saint-Petersburg, 21/05/17. https://doi.org/10.1109/CNSA.2017.7974017

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N2 - This paper is devoted to the problem of optimal weather routing for transoceanic ship voyages. The goal of optimization is to reduce travel time and fuel consumptions. The optimal route is searched on the admissible set, which comprises routes satisfying all of the imposed static and dynamic constraints. The static constraints are represented mostly by coastal lines and shallow waters. The dynamic constraints are time-varying alarm zones restricted for ship motion due to dangerous weather conditions. The proposed route optimization algorithm uses long-term weather forecast for a sailing region and a mathematical model of ship motion. The key feature of algorithm is the three-dimensional representation of the route, which allows transforming initial finite-dimensional optimization problem to the problem of path finding on special graph.

AB - This paper is devoted to the problem of optimal weather routing for transoceanic ship voyages. The goal of optimization is to reduce travel time and fuel consumptions. The optimal route is searched on the admissible set, which comprises routes satisfying all of the imposed static and dynamic constraints. The static constraints are represented mostly by coastal lines and shallow waters. The dynamic constraints are time-varying alarm zones restricted for ship motion due to dangerous weather conditions. The proposed route optimization algorithm uses long-term weather forecast for a sailing region and a mathematical model of ship motion. The key feature of algorithm is the three-dimensional representation of the route, which allows transforming initial finite-dimensional optimization problem to the problem of path finding on special graph.

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