A system for route optimization in ice-covered waters
A system for route optimization in ice-covered waters
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DOI：
10.1016/j.coldregions.2008.07.003
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发表时间：
2009
影响因子：
4.1
通讯作者：
Ville Kotovirta;R. Jalonen;L. Axell;K. Riska;R. Berglund
中科院分区：
文献类型：
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作者：
Ville Kotovirta;R. Jalonen;L. Axell;K. Riska;R. Berglund
有关冰的信息对于在被冰覆盖的海域航行来说是不可或缺的。对于在冰中长途航行的船只来说，规划航线是值得的，这些航线将减少燃料消耗和旅行时间，以及最终进入危险区域或被困在冰中的风险。除了船上的观测，海员还可以使用多种数据来源，如卫星图像、冰模型数据、天气观测和预报。然而，人类在规划路线时很难考虑到所有的时变数据参数。本文提出了一个冰场路径优化的原型系统。该系统集成了最先进的冰层建模、船舶过境建模和最终用户系统，作为船舶在结冰水域航行的路线优化工具。该系统最近在波罗的海的商船上进行了验证，并使用AIS数据对系统的性能进行了统计分析。根据交通信息系统数据分析，长线(90-650公里)的平均相对误差为0.144[S/S]，标准差为0.147[S/S]；50公里路段的平均相对误差为0.018[S/S]，标准差为0.193[S/S]。
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.