Preliminary Inter-comparison of AIS Data and Optimal Ship Tracks

被引:6
|
作者
Mannarini, G. [1 ]
Carelli, L. [1 ]
Zissis, D. [2 ]
Spiliopoulos, G. [2 ]
Chatzikokolakis, K. [2 ]
机构
[1] CMCC, Lecce, Italy
[2] Marine Traff, London, England
关键词
AIS data; Automatic identification system (AIS); Copernicus marine environment monitoring service (CMEMS); Optimal ship track; Ship track; VISIR (discoVerIng Safe and effIcient Routes); VISIR model; VISIR track;
D O I
10.12716/1001.13.01.04
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Optimal ship tracks computed via the VISIR model are compared to tracks recorded by the Automatic Identification System (AIS). The evaluation regards 43 tracks in the Southern Atlantic Ocean, sailed during 2016-2017 by different bulk carriers. In this exercise, VISIR is fed by wave analysis fields from the Copernicus Marine Environment Monitoring Service (CMEMS). In order to reproduce vessel speed loss in waves, a new methodology is developed, where kinematic information from AIS is fusioned with wave information from CMEMS. Resulting VISIR tracks are analyzed along with AIS tracks in terms of their topological features and duration. The tracks exhibit quite diverse topological shapes, including orthodromic, loxodromic, and other paths with complex and dynamic diversions. The distribution of AIS to VISIR track durations is analyzed in terms of several parameters, such as the AIS to VISIR track length and their Frechet distance. Model features of VISIR affecting the results are discussed and future developments suggested by the results are outlined.
引用
收藏
页码:53 / 61
页数:9
相关论文
共 50 条
  • [1] Inter-comparison of GRACE data over India
    Banerjee, Chandan
    Kumar, D. Nagesh
    [J]. LAND SURFACE AND CRYOSPHERE REMOTE SENSING III, 2016, 9877
  • [2] Comparison study on AIS data of ship traffic behavior
    Xiao, Fangliang
    Ligteringen, Han
    van Gulijk, Coen
    Ale, Ben
    [J]. OCEAN ENGINEERING, 2015, 95 : 84 - 93
  • [3] Inter-comparison of experimental catchment data and hydrological modelling
    Singh, Shailesh Kumar
    Ibbitt, Richard
    Srinivasan, M. S.
    Shankar, Ude
    [J]. JOURNAL OF HYDROLOGY, 2017, 550 : 1 - 11
  • [4] An inter-comparison of RWIS data with AWOS and ASOS data in the state of Iowa
    Todey, DP
    Herzmann, DE
    Gallus, WA
    Temeyer, BR
    [J]. 18TH INTERNATIONAL CONFERENCE ON INTERACTIVE INFORMATION AND PROCESSING SYSTEMS (IIPS) FOR METEOROLOGY, OCEANOGRAPHY, AND HYDROLOGY, 2002, : 150 - 152
  • [5] SimilarityExplorer: A Visual Inter-Comparison Tool for Multifaceted Climate Data
    Poco, J.
    Dasgupta, A.
    Wei, Y.
    Hargrove, W.
    Schwalm, C.
    Cook, R.
    Bertini, E.
    Silva, C.
    [J]. COMPUTER GRAPHICS FORUM, 2014, 33 (03) : 341 - 350
  • [6] PRELIMINARY RESULTS OF THE ICIDOSE 2017 INTERNATIONAL INTER-COMPARISON ON INTERNAL DOSE ASSESSMENT
    Castellani, C. M.
    Andrasi, A.
    Giussani, A.
    Pazmandi, T.
    Roberts, G.
    [J]. RADIATION PROTECTION DOSIMETRY, 2019, 183 (04) : 535 - 541
  • [7] Inter-comparison of global precipitation data products at the river basin scale
    Hu, Xiaolong
    Zhou, Zheng
    Xiong, Haibin
    Gao, Quan
    Cao, Xiayu
    Yang, Xuhai
    [J]. HYDROLOGY RESEARCH, 2024, 55 (01): : 1 - 16
  • [8] Inter-comparison of satellite sea ice motion with drifting buoy data
    Hwang, Byongjun
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2013, 34 (24) : 8741 - 8763
  • [9] An inter-comparison of approaches and frameworks to quantify irrigation from satellite data
    Kragh, Soren Julsgaard
    Dari, Jacopo
    Modanesi, Sara
    Massari, Christian
    Brocca, Luca
    Fensholt, Rasmus
    Stisen, Simon
    Koch, Julian
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2024, 28 (03) : 441 - 457
  • [10] Inter-comparison and calibration of SMAP and SMOS brightness temperature data in the Arctic
    Huang, Senwen
    He, Lian
    He, Xiyi
    Hui, Fengming
    [J]. National Remote Sensing Bulletin, 2023, 27 (05): : 6 - 17