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A novel method for restoring the trajectory of the inland waterway ship by using AIS data

机译:利用AIS数据恢复内河船舶航迹的新方法

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摘要

The trajectory of the inland waterway ship is important and useful in analysing the features of the ship behaviour and simulating traffic flows. In the proposed research, a method is designed to restore the trajectory of an inland waterway ship based on the Automatic Identification System (AIS) data. Firstly, three rules are developed to identify and remove the inaccurate data, based on the reception range of the received AIS data and the manoeuvring characteristics of the inland waterway ship. Secondly, the method of restoring the full trajectory incorporating navigational features of the inland waterway ship is proposed to model the ship trajectory. The trajectory is characterised by three types (line, curve and arc) and five steps (line, curve, arc, curve and line) during the turning section. In order to validate the proposed method, the AIS data of two inland waterway ships collected from three AIS-base-stations is selected for the analysis, all inaccurate AIS data is identified and removed by the use of three cleansing rules. The results show that the three developed rules can effectively identify the inaccurate AIS data. The AIS data collected by an AIS-shipboard-unit is then used to: (1) restore the ship trajectory, and (2) validate the proposed method by comparing the reconstituted trajectories with the actual trajectory. This actual trajectory is determined from intermediate higher frequency Global Positioning System (GPS) data and collected from the AIS-shipboard-unit. The residual errors are calculated as the differences between the estimated latitude values of the restored trajectory functions and the real latitude values of the GPS data. Three alternative methods of trajectory restoring are also evaluated. The results show that the proposed method can be used to restore the full trajectory in an effective manner by using AIS data. (c) 2015 Elsevier Ltd. All rights reserved.
机译:内河船舶的轨迹对于分析船舶行为特征和模拟交通流量具有重要意义。在提出的研究中,设计了一种基于自动识别系统(AIS)数据恢复内陆水运船航迹的方法。首先,根据接收到的AIS数据的接收范围和内河航船的操纵特性,制定了三个规则来识别和删除不正确的数据。其次,提出了一种结合内河航道航行特征的全航迹恢复方法,对航迹进行建模。该轨迹在转弯部分具有三种类型(直线,曲线和弧线)和五个步骤(直线,曲线,弧线,曲线和线)。为了验证所提出的方法,选择了从三个AIS基地站收集的两艘内河船的AIS数据进行分析,并使用三个清洗规则对所有不准确的AIS数据进行了识别和删除。结果表明,三种改进的规则可以有效地识别出不准确的AIS数据。然后,由AIS船载单位收集的AIS数据用于:(1)恢复船舶航迹,以及(2)通过将重构的航迹与实际航迹进行比较来验证所提出的方法。该实际轨迹是根据中高频全球定位系统(GPS)数据确定的,并且是从AIS船上单元收集的。将剩余误差计算为恢复的轨迹函数的估计纬度值与GPS数据的实际纬度值之间的差。还评估了轨迹恢复的三种替代方法。结果表明,该方法可以有效地利用AIS数据恢复整个轨迹。 (c)2015 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Ocean Engineering》 |2015年第1期|183-194|共12页
  • 作者单位

    Natl Engn Res Ctr Water Transport Safety WTSC, Wuhan 430063, Hubei, Peoples R China|Wuhan Univ Technol, Intelligent Transport Syst Res Ctr ITSC, Wuhan 430063, Hubei, Peoples R China;

    Liverpool John Moores Univ, Liverpool Logist Offshore & Marine LOOM Res Inst, Liverpool L3 3AF, Merseyside, England;

    Natl Engn Res Ctr Water Transport Safety WTSC, Wuhan 430063, Hubei, Peoples R China|Wuhan Univ Technol, Intelligent Transport Syst Res Ctr ITSC, Wuhan 430063, Hubei, Peoples R China;

    Natl Engn Res Ctr Water Transport Safety WTSC, Wuhan 430063, Hubei, Peoples R China|Wuhan Univ Technol, Intelligent Transport Syst Res Ctr ITSC, Wuhan 430063, Hubei, Peoples R China;

    Liverpool John Moores Univ, Liverpool Logist Offshore & Marine LOOM Res Inst, Liverpool L3 3AF, Merseyside, England;

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

    Inland waterway ship; Trajectory; Ship behaviour; Ship safety; Automatic Identification System (AIS);

    机译:内河船舶;航迹;船舶行为;船舶安全;自动识别系统(AIS);

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