A method to extract the Quaternion Ship Domain parameters from AIS data
The ship domain concept is of great interest for ship traffic modelling, risk assessment and intelligent collision avoidance. The paper proposes and applies a method to define AIS data-based empirical polygonal ship domains, based on traffic density matrices that are derived around each reference ship from an AIS dataset. A modified Quaternion Ship Domain allowing for different shapes for each quadrant is proposed, which results in a better fitting to the empirical domain. The parameters of Quaternion Ship Domains that best fit the empirical polygonal domains are determined for cargo ships and tankers of different lengths. Violations of the Quaternion Ship Domain are then used as an indicator of collision risk that is graphically represented in the study area, providing important information to support maritime traffic monitoring and control tasks.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00298018
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Supplemental Notes:
- © 2022 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Silveira, P
- Teixeira, A P
- Soares, C Guedes
- Publication Date: 2022-8-1
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: 111568
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Serial:
- Ocean Engineering
- Volume: 257
- Issue Number: 0
- Publisher: Pergamon
- ISSN: 0029-8018
- EISSN: 1873-5258
- Serial URL: http://www.sciencedirect.com/science/journal/00298018
Subject/Index Terms
- TRT Terms: Automatic vehicle detection and identification systems; Crash risk forecasting; Maritime safety; Ships; Water traffic
- Subject Areas: Data and Information Technology; Marine Transportation; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01849143
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 23 2022 9:16AM