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首页> 外文期刊>Ocean Engineering >How do ships pass through L-shaped turnings in the Singapore strait?
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How do ships pass through L-shaped turnings in the Singapore strait?

机译：船舶如何通过新加坡海峡的L形转弯？

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摘要

The value of ship Automatic Identification System (AIS) data coexists with data noises, whereas a tangible noise elimination method plays an important role in data mining. In this study, we first address the big ship AIS data de-noising issue for the 43 million records from 15 legs in the Singapore Strait, in which ship position, speed, and course data are checked and corrected by our proposed Method-I. Moreover, a winding number-based Method-II is developed to select data within irregularly restricted water areas. Based on these data, we particularly design a search-and-cut Method-Ill to filter out ships that pass through an "L" turning (two or more neighboring legs forming a curved channel) in this study.Speeds are normally distributed within a certain range according to the real AIS data in the Singapore Strait. Three types of waters (i.e., legs, "L" turnings and the whole strait) are compared. The results indicate that ship speeds in "L" turnings are more normally distributed than the speeds in legs and the entire strait. In the Singapore Strait, ship speeds slow down by 5.26%-14.4% to pass through "L" turnings approximately. Moreover, our tangible Method-IV of identifying ship decelerating processes from a large number of navigational data indicates that changes in ship speed of an "L" turning have the least relationship with ship types or lengths. However, we find that the longer the length of the ship, (1) the longer the decelerating time, (2) the smaller the deceleration, and (3) the smaller the course changing rate.
机译：船舶自动识别系统（AIS）数据的价值与数据噪声并存，而有形噪声消除方法在数据挖掘中起着重要作用。在这项研究中，我们首先针对新加坡海峡15条腿的4,300万条记录解决了大型船舶AIS数据降噪问题，其中船舶位置，速度和航向数据由我们提出的Method-I检查和纠正。此外，还开发了基于绕线数的Method-II，以选择不规则限制的水域内的数据。基于这些数据，我们特别设计了一种“搜索-切割”方法-III，以过滤掉通过本研究的“ L”形转弯（两条或更多条相邻的腿形成弯曲通道）的船只。速度呈正态分布根据新加坡海峡的真实AIS数据在一定范围内。比较了三种类型的水域（即，腿，“ L”形转弯和整个海峡）。结果表明，“ L”形转弯处的船速比腿部和整个海峡的速度更正态分布。在新加坡海峡，船速大约降低5.26％-14.4％，以通过“ L”形弯道。而且，我们从大量导航数据中识别出船舶减速过程的有形方法IV表明，“ L”形转弯的船速变化与船型或长度的关系最小。但是，我们发现船长越长，（1）减速时间越长，（2）减速越小，（3）航向变化率越小。

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  • 来源
    《Ocean Engineering》 |2019年第15期|329-342|共14页
  • 作者

    Kang Liujiang; Meng Qiang; Zhou Chuanbei; Gao Song;

  • 作者单位

    Beijing Jiaotong Univ, Minist Transport, Key Lab Transport Ind Big Data Applicat Technol C, Beijing 100044, Peoples R China|Natl Univ Singapore, Dept Civil & Environm Engn, Singapore 117576, Singapore;

    Natl Univ Singapore, Dept Civil & Environm Engn, Singapore 117576, Singapore;

    Natl Univ Singapore, Ctr Maritime Studies, Singapore 118414, Singapore;

    Wuhan Univ Technol, Intelligent Transportat Syst Res Ctr, Wuhan 430070, Hubei, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Singapore strait; "L" turning; Ship AIS data; Data modeling and analysis; Ship speed-density-flow;

    机译：新加坡海峡;“ L”弯;船舶AIS数据;数据建模与分析;船舶速度-密度流;

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