Efficiency of a voluntary speed reduction algorithm for a ship’s great circle sailing
The great-circle is the shortest distance between two points on the surface of the earth. When planning a ship’s sailing route (waypoints and forward speeds) for a specific voyage, the great circle route is commonly considered as a reference route, especially for ocean-crossing seaborne transport. D...
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Online Access: | https://doi.org/10.12716/1001.14.02.04 https://research.chalmers.se/en/publication/521398 |
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ftchalmersuniv:oai:research.chalmers.se:521398 2023-05-15T17:34:22+02:00 Efficiency of a voluntary speed reduction algorithm for a ship’s great circle sailing Wang, Helong Mao, Wengang Eriksson, Leif 2020 text https://doi.org/10.12716/1001.14.02.04 https://research.chalmers.se/en/publication/521398 unknown http://dx.doi.org/10.12716/1001.14.02.04 https://research.chalmers.se/en/publication/521398 Telecommunications Transport Systems and Logistics Marine Engineering 2020 ftchalmersuniv https://doi.org/10.12716/1001.14.02.04 2022-12-11T07:13:01Z The great-circle is the shortest distance between two points on the surface of the earth. When planning a ship’s sailing route (waypoints and forward speeds) for a specific voyage, the great circle route is commonly considered as a reference route, especially for ocean-crossing seaborne transport. During the planning process, the upcoming sea weather condition is one of the most important factors affecting the ship’s route optimization/planning results. To avoid encountering harsh conditions, conventional routing optimization algorithms, such as Isochrone method and Dynamic Programming method, have been developed/implemented to schedule a ship’s optimal routes by selecting waypoints around the great circle reference route based on the ship’s operational performances at sea. Due to large uncertainties in sea weather forecast that used as inputs of these optimization algorithms, the optimized routes may have worse performances than the traditional great circle sailing. In addition, some shipping companies are still sailing in or making charting contracts based on the great circle routes. Therefore, in this study, a new optimization algorithm is proposed to consider the voluntary speed reduction with optimal speed configuration along the great circle course. The efficiency of this method is investigated by comparing these two methods for optimal route planning with respect to ETA and minimum fuel consumption. A container ship sailing in the North Atlantic with full-scale performance measurements are employed as the case study vessels for the comparison. Other/Unknown Material North Atlantic Chalmers University of Technology: Chalmers research Eta ENVELOPE(-62.917,-62.917,-64.300,-64.300) TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation 14 2 301 308 |
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Chalmers University of Technology: Chalmers research |
op_collection_id |
ftchalmersuniv |
language |
unknown |
topic |
Telecommunications Transport Systems and Logistics Marine Engineering |
spellingShingle |
Telecommunications Transport Systems and Logistics Marine Engineering Wang, Helong Mao, Wengang Eriksson, Leif Efficiency of a voluntary speed reduction algorithm for a ship’s great circle sailing |
topic_facet |
Telecommunications Transport Systems and Logistics Marine Engineering |
description |
The great-circle is the shortest distance between two points on the surface of the earth. When planning a ship’s sailing route (waypoints and forward speeds) for a specific voyage, the great circle route is commonly considered as a reference route, especially for ocean-crossing seaborne transport. During the planning process, the upcoming sea weather condition is one of the most important factors affecting the ship’s route optimization/planning results. To avoid encountering harsh conditions, conventional routing optimization algorithms, such as Isochrone method and Dynamic Programming method, have been developed/implemented to schedule a ship’s optimal routes by selecting waypoints around the great circle reference route based on the ship’s operational performances at sea. Due to large uncertainties in sea weather forecast that used as inputs of these optimization algorithms, the optimized routes may have worse performances than the traditional great circle sailing. In addition, some shipping companies are still sailing in or making charting contracts based on the great circle routes. Therefore, in this study, a new optimization algorithm is proposed to consider the voluntary speed reduction with optimal speed configuration along the great circle course. The efficiency of this method is investigated by comparing these two methods for optimal route planning with respect to ETA and minimum fuel consumption. A container ship sailing in the North Atlantic with full-scale performance measurements are employed as the case study vessels for the comparison. |
author |
Wang, Helong Mao, Wengang Eriksson, Leif |
author_facet |
Wang, Helong Mao, Wengang Eriksson, Leif |
author_sort |
Wang, Helong |
title |
Efficiency of a voluntary speed reduction algorithm for a ship’s great circle sailing |
title_short |
Efficiency of a voluntary speed reduction algorithm for a ship’s great circle sailing |
title_full |
Efficiency of a voluntary speed reduction algorithm for a ship’s great circle sailing |
title_fullStr |
Efficiency of a voluntary speed reduction algorithm for a ship’s great circle sailing |
title_full_unstemmed |
Efficiency of a voluntary speed reduction algorithm for a ship’s great circle sailing |
title_sort |
efficiency of a voluntary speed reduction algorithm for a ship’s great circle sailing |
publishDate |
2020 |
url |
https://doi.org/10.12716/1001.14.02.04 https://research.chalmers.se/en/publication/521398 |
long_lat |
ENVELOPE(-62.917,-62.917,-64.300,-64.300) |
geographic |
Eta |
geographic_facet |
Eta |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
http://dx.doi.org/10.12716/1001.14.02.04 https://research.chalmers.se/en/publication/521398 |
op_doi |
https://doi.org/10.12716/1001.14.02.04 |
container_title |
TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation |
container_volume |
14 |
container_issue |
2 |
container_start_page |
301 |
op_container_end_page |
308 |
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1766133179074215936 |