A system for route optimization in ice-covered waters

Ville Kotovirta (Corresponding Author), R. Jalonen, L. Axell, K. Riska, Robin Berglund

Research output: Contribution to journalArticleScientificpeer-review

47 Citations (Scopus)

Abstract

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 end-user 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.
Original languageEnglish
Pages (from-to)52-62
Number of pages11
JournalCold Regions Science and Technology
Volume55
Issue number1
DOIs
Publication statusPublished - 2009
MoE publication typeA1 Journal article-refereed

Fingerprint

Ice
ice
Water
vessel
water
ice field
Planning
fuel consumption
Sea ice
travel time
Travel time
modeling
navigation
sea ice
Fuel consumption
Ships
Navigation
weather
Satellites

Keywords

  • Baltic Sea
  • ice fields
  • mathematical models
  • modeling
  • optimization
  • sea ice

Cite this

Kotovirta, Ville ; Jalonen, R. ; Axell, L. ; Riska, K. ; Berglund, Robin. / A system for route optimization in ice-covered waters. In: Cold Regions Science and Technology. 2009 ; Vol. 55, No. 1. pp. 52-62.
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abstract = "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 end-user 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.",
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A system for route optimization in ice-covered waters. / Kotovirta, Ville (Corresponding Author); Jalonen, R.; Axell, L.; Riska, K.; Berglund, Robin.

In: Cold Regions Science and Technology, Vol. 55, No. 1, 2009, p. 52-62.

Research output: Contribution to journalArticleScientificpeer-review

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AB - 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 end-user 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.

KW - Baltic Sea

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