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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形车轮？

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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共存，而有形的噪声消除方法在数据挖掘中起重要作用。在这项研究中，我们首先在新加坡海峡中出现4300万条痕迹的大船舶AIS数据去噪问题，其中船舶位置，速度和课程数据被我们提出的方法检查和纠正了我们的建议 - 我。此外，开发了基于绕组的方法-II以在不规则限制的水域内选择数据。基于这些数据，我们特别设计一个搜索和剪切方法，以在本研究中过滤通过“L”转动（两个或更多个邻近腿）的船舶在本研究中。速度通常在a内分布根据新加坡海峡的真实AIS数据的某些范围。比较了三种类型的水（即，腿，“L”转弯和整个海峡）。结果表明，“L”车削的船舶速度比腿部和整个海峡的速度更正常分布。在新加坡海峡，船舶速度减慢了5.26％-14.4％，通过“L”转折。此外，我们从大量导航数据识别船舶减速过程的有形方法-IV表示“L”转动的船舶速度的变化与船舶类型或长度的关系最小。然而，我们发现船长越长，（1）减速时间越长，（2）减速越小，（3）越来越越大。

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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”转动;船舶AIS数据;数据建模和分析;船速密度流动;

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