Empirical Ship Domain based on AIS Data

被引:169
|
作者
Hansen, Martin Gamborg [1 ]
Jensen, Toke Koldborg [1 ]
Lehn-Schioler, Tue [1 ]
Melchild, Kristina [1 ]
Rasmussen, Finn Molsted [1 ]
Ennemark, Finn
机构
[1] Ramboll, DK-2300 Copenhagen S, Denmark
来源
JOURNAL OF NAVIGATION | 2013年 / 66卷 / 06期
关键词
Comfort ellipse; Navigation; Ship domain theory; Traffic flow;
D O I
10.1017/S0373463313000489
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
In this paper the minimum ship domain in which a navigator feels comfortable is estimated. That is, we estimate the free space surrounding a ship into which no other ship or object should enter. This is very useful when estimating the maximum flow through a channel or a bridge span. The paper benefits from the introduction of Automatic Identification System (AIS) data as it is now much easier to conduct studies involving a large number of observations. Our observations are based on ships sailing in southern Danish waters during a four year period, and from the observations we estimate how closely ships pass each other and fixed objects in open sea navigation. The main result is the establishment of an empirical minimum ship domain related to a comfortable navigational distance.
引用
收藏
页码:931 / 940
页数:10
相关论文
共 50 条
  • [1] DYNAMIC SHIP DOMAIN MODEL BASED ON AIS DATA FOR INLAND WATERWAYS
    He, Yankang
    Zhang, Di
    Zhang, Jinfen
    Wu, Bing
    Soares, Carlos Guedes
    [J]. PROCEEDINGS OF THE ASME 39TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, OMAE2020, VOL 2A, 2020,
  • [2] An online identification approach for ship domain model based on AIS data
    Zhou, Wei
    Zheng, Jian
    Xiao, Yingjie
    [J]. PLOS ONE, 2022, 17 (03):
  • [3] Study on ship domain of large vessels in restricted waters based on AIS data
    Zhou, Tianrui
    Hu, Zhihui
    Pan, Jiacai
    [J]. 2017 2ND INTERNATIONAL CONFERENCE ON MECHATRONICS AND INFORMATION TECHNOLOGY (ICMIT 2017), 2017, : 136 - 141
  • [4] A Revisit of the Definition of the Ship Domain based on AIS Analysis
    Horteborn, Axel
    Ringsberg, Jonas W.
    Svanberg, Martin
    Holm, Henrik
    [J]. JOURNAL OF NAVIGATION, 2019, 72 (03): : 777 - 794
  • [5] Prediction of ship domain on coastal waters by using AIS data
    Kundakci, Burak
    Nas, Selcuk
    Gucma, Lucjan
    [J]. OCEAN ENGINEERING, 2023, 273
  • [6] Ship classification based on ship behavior clustering from AIS data
    Zhou, Yang
    Daamen, Winnie
    Vellinga, Tiedo
    Hoogendoorn, Serge P.
    [J]. OCEAN ENGINEERING, 2019, 175 : 176 - 187
  • [7] A method to extract the Quaternion Ship Domain parameters from AIS data
    Silveira, P.
    Teixeira, A. P.
    Soares, C. Guedes
    [J]. OCEAN ENGINEERING, 2022, 257
  • [8] AIS-based Delineation and Interpretation of Ship Domain Models
    Chang, Shwu-Jing
    Hsiao, Deng-Teng
    Wang, Wei-Chih
    [J]. OCEANS 2014 - TAIPEI, 2014,
  • [9] Abnormal Ship Behavior Detection Based on AIS Data
    Shi, Yan
    Long, Cheng
    Yang, Xuexi
    Deng, Min
    [J]. APPLIED SCIENCES-BASEL, 2022, 12 (09):
  • [10] Ship Navigation Behavior Prediction Based on AIS Data
    Liu, Tian
    Ma, Jianwen
    [J]. IEEE ACCESS, 2022, 10 : 47997 - 48008