Use of AIS Data to Characterise Marine Traffic Patterns and Ship Collision Risk off the Coast of Portugal

被引:270
|
作者
Silveira, P. A. M. [1 ]
Teixeira, A. P. [1 ]
Guedes Soares, C. [1 ]
机构
[1] Univ Tecn Lisboa, Inst Super Tecn, Ctr Marine Technol & Engn CENTEC, Lisbon, Portugal
来源
JOURNAL OF NAVIGATION | 2013年 / 66卷 / 06期
关键词
AIS data; Traffic assessment; Risk of ship collision; Collision candidates; NAVIGATIONAL SAFETY; PROBABILITY; FREQUENCY; AVOIDANCE; CRITERION; DOMAIN;
D O I
10.1017/S0373463313000519
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
This paper studies the risk of ship collision off the coast of Portugal based on Automatic Identification System (AIS) data, which is recorded and maintained by the Portuguese coastal Vessel Traffic Service (VTS) control centre (CCTMC). Computer programs for decoding, visualization and analysis of the AIS data have been developed. From analysis of the AIS data available, maritime traffic off the coast of Portugal is characterized and a statistical analysis of traffic in the Traffic Separation Schemes is provided. An algorithm has been developed to assess the risk profile and the relative importance of routes associated with ports. A method is proposed to calculate the collision risk from the assessment of the number of collision candidates by estimating future distances between ships based on their previous positions, courses and speeds, and comparing those distances with a defined collision diameter. Values of causation probability suggested in several studies are used to calculate the expected number of collisions in the period of time under investigation based on the number of collision candidates. The results of this study are then compared with the number of collisions that have occurred between 1997-2006, registered and maintained by the Portuguese Maritime Authority.
引用
收藏
页码:879 / 898
页数:20
相关论文
共 7 条
  • [1] A framework of marine collision risk identification strategy using AIS data
    Ma, Xiaofei
    Shi, Guoyou
    Shi, Jiahui
    Liu, Jiao
    JOURNAL OF NAVIGATION, 2023, 76 (4-5): : 525 - 544
  • [2] Use of AIS data for the environmental characterization of world cruise ship traffic
    Vicente-Cera, Isaias
    Acevedo-Merino, Asuncion
    Lopez-Ramirez, Juan Antonio
    Nebot, Enrique
    INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION, 2020, 14 (06) : 465 - 474
  • [3] Use of AIS data for performance evaluation of ship traffic with speed control
    Wang, Likun
    Li, Yang
    Wan, Zheng
    Yang, Zaili
    Wang, Tong
    Guan, Keping
    Fu, Lei
    OCEAN ENGINEERING, 2020, 204
  • [4] Risk analysis of bridge ship collision based on AIS data model and nonlinear finite element
    Zhao, Canglong
    Cao, Xiang
    Ren, Yunye
    NONLINEAR ENGINEERING - MODELING AND APPLICATION, 2023, 12 (01):
  • [5] Ship Collision Risk Evaluation using AIS and weather data through fuzzy logic and deep learning
    Korupoju, Anil Kumar
    Kapadia, Veer
    Vilwathilakam, Arun Shankar
    Samanta, Asokendu
    OCEAN ENGINEERING, 2025, 318
  • [6] Spatial-temporal analysis method of ship traffic accidents involving data field: An evidence from risk evolution of ship collision
    Zhu, Qinghua
    Xi, Yongtao
    Hu, Shenping
    Wu, Jianjun
    Han, Bing
    OCEAN ENGINEERING, 2023, 276
  • [7] A novel index for real-time ship collision risk assessment based on velocity obstacle considering dimension data from AIS
    Zhao, Liangbin
    Fu, Xiuju
    OCEAN ENGINEERING, 2021, 240