Use of Automatic Identification System as a Source of Information to Avoid Ships’ Collisions at Sea

Wawruch, R.

doi:10.1007/978-3-319-97955-7_28

Cited by 3 publications

(3 citation statements)

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“…They were carried out over several years and some of their results have already been partly presented in publications [12][13][14][15]. The measurements were conducted by students of the Faculty of Navigation of the Gdynia Maritime University as part of their engineering thesis listed in bibliography [5,6,7,8,9,10,11,16,17,18], written under the supervision of the author of this article.…”

Section: Introductionmentioning

confidence: 99%

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Comparative Analysis of the Usefulness of AIS and ARPA for Anti-collision Purposes

Wawruch¹

2020

TransNav

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The article discusses the principles of presenting data available from AIS and radar tracking on ship's radar display units and describes the results of comparative studies of the accuracy of their indications on sea-going vessels in real meeting situations in various hydro meteorological conditions. http://www.transnav.eu the International Journal on Marine Navigation and Safety of Sea Transportation Volume 14 Number 3

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Section: Introductionmentioning

confidence: 99%

“…The state of the sea, expressed in degrees of the Douglas scale in the last column of this table, describes weather conditions during the test. Part of the measurements presented in this table is a repetition of information presented in the earlier publications mentioned in the bibliography [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of the Usefulness of AIS and ARPA for Anti-collision Purposes

Wawruch¹

2020

TransNav

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“…Ma studied vessel motion pattern recognition based on one-way distance and spectral clustering algorithm in [11]. There is also some research for ship collision avoidance in [12][13][14][15], such as chaotic particle swarm optimization, dynamic prediction, AIS data processing, and dynamic support system based on ship maneuverability. These studies only consider vessel trajectory or collision avoidance by AIS data mining.…”

Section: Introductionmentioning

confidence: 99%

Collision Avoidance Situation Matching with Vessel Maneuvering Actions Identification from Vessel Trajectories

Chen¹

2019

IJPE

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Vessel trajectories implied in AIS data are crucial to obtain a good understanding of the maritime traffic situation for shipping safety. Starting from raw AIS data, a trajectory database is created for vessels within surveillance area after parsing, noise reduction, and DBSCAN clustering. With mmsi as the key index, the trajectory for each vessel is extracted ordering by timestamp. To remove the time interval difference between points in trajectories, interpolation and cleaning are carried out on each vessel trajectory to get trajectories with equal time intervals. Through implied motion pattern computation between adjacent points in each trajectory, maneuvering actions can be identified. Then, sailing segments with continuous same maneuvering actions are merged. With sailing segments partition results, critical points are extracted for already known different collision avoidance situations. Trajectory similarity computation for different vessels are computed with our new multi-scale and multi-resolution trajectory matching method. Experiments for the recognition of collision avoidance situations show that the adoption of the matching algorithm with multi-scale and multi-resolution trajectories for different vessel pairs to complete collision avoidance situations analysis is effective and achieves good performance.

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Comparative Analysis of the Usefulness of AIS and ARPA for Anti-collision Purposes and Detection of Ship Manoeuvres

Wawruch

2019

Communications in Computer and Information Science

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Use of Automatic Identification System as a Source of Information to Avoid Ships’ Collisions at Sea

Cited by 3 publications

References 1 publication

Comparative Analysis of the Usefulness of AIS and ARPA for Anti-collision Purposes

Comparative Analysis of the Usefulness of AIS and ARPA for Anti-collision Purposes

Collision Avoidance Situation Matching with Vessel Maneuvering Actions Identification from Vessel Trajectories

Comparative Analysis of the Usefulness of AIS and ARPA for Anti-collision Purposes and Detection of Ship Manoeuvres

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