Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A system for route optimization in ice-covered waters
SMHI, Research Department, Oceanography.
Show others and affiliations
2009 (English)In: Cold Regions Science and Technology, ISSN 0165-232X, Vol. 55, no 1, 52-62 p.Article in journal (Refereed) Published
Abstract [en]

Information about ice is indispensable to navigation in ice-covered sea areas. For vessels traveling long distances in ice, it is worth planning routes that will reduce fuel consumption and travel time, as well as the risk of ending up in hazardous areas or getting stuck in the ice. In addition to observations on board. there is a multitude of data sources available for seafarers like satellite images, ice model data, weather observations and forecasts. However, it is difficult for a human to take into consideration all the time-varying data parameters when planning a route. In this paper, a prototype system for optimizing routes through the ice field is presented. The system integrates state-of-the-art ice modeling, ship transit modeling, and an enduser system as a route optimization tool for vessels navigating in ice-covered waters. The system has recently been validated on board merchant vessels in the Baltic Sea, and the system's performance has been analyzed statistically using AIS data. Based on the AIS data analysis the mean relative error of the estimated transit time was 0.144 [s/s] with a standard deviation of 0.147 [s/s] for long routes (90-650 km), and 0.018 [s/s] with standard deviation of 0.193 [s/s] for 50 km route segments. (C) 2008 Elsevier B.V. All rights reserved.

Place, publisher, year, edition, pages
2009. Vol. 55, no 1, 52-62 p.
Keyword [en]
Sea ice, Ice fields, Optimization, Modeling, Mathematical models, Baltic Sea
National Category
Oceanography, Hydrology, Water Resources
Research subject
Oceanography
Identifiers
URN: urn:nbn:se:smhi:diva-646DOI: 10.1016/j.coldregions.2008.07.003ISI: 000261563900007OAI: oai:DiVA.org:smhi-646DiVA: diva2:806689
Available from: 2015-04-21 Created: 2015-04-21 Last updated: 2015-04-21Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Axell, Lars
By organisation
Oceanography
In the same journal
Cold Regions Science and Technology
Oceanography, Hydrology, Water Resources

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 20 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.26.0
|