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Berthing Speed Control Law for Large Vessels Based on AIS Data

机译:基于AIS数据的大型船舶靠泊速度控制律

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A vast ocean of AIS (Automatic Identification System) data broadcast by ships contain characteristic of marine traffic, from which information that reflects latent principles of characteristics of ship movements can be gathered. To extract features of vessels during the berthing phase with as little error as possible, using data mining method and mid-latitude sailing in combination, based on AIS database. Then applying the algorithm to Xiamen Songyu port area and Tianjin Beijiang port area for data of full year 2014 in these two waters. Lastly, in-depth analysis is carried out to discover the berthing speed control law for large container vessels when remaining distance to berth is about 20 times own ship LOA (Length Overall). The research may help competent authority advance the rule of safe speed, while it also provides the basis of speed control during berthing phase for pilot or self-pilot personnel.
机译:船舶广播的广阔的AIS(自动识别系统)数据包含海洋交通的特征,可以从中收集反映船舶运动特征的潜在原理的信息。使用基于AIS数据库的数据挖掘方法和中纬度航行相结合,以在停泊阶段中尽可能少地提取船舶特征。然后将该算法应用于厦门松榆港区和天津北江港区,获取这两个水域2014年全年的数据。最后,进行了深入分析,以发现大型集装箱船在离泊位的剩余距离约为本船LOA(总长)的20倍时的泊位速度控制律。这项研究可能有助于主管当局提高安全速度的规则,同时也为飞行员或自动驾驶人员的泊位阶段的速度控制提供基础。

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