Spatial modeling and analysis approach for ship-encounters dynamic spatial–temporal domain
One of the crucial issues at the forefront of smart ship development that urgently needs solutions is navigational situation safety awareness technology. The development of intelligent navigation safety technology is severely constrained by the issue of challenging mining and accurate measurement of ship encounter dynamic space-time variation law and unknown nonlinear spatial representation information. This work creatively offers a GIS spatial modeling and analysis method based on the dynamic space-time domain of ship encounters, based on the GIS spatial information platform and spatial analysis theory. Based on the ship's approaching rate, encounter hazard identification parameters, relative space-time position distribution, etc., combined with the normal distribution function of the spatial distance adjustment variable, the method successfully constructs a multi-time-space, multi-angle, and multi-state encounter space model. By efficiently reducing the ambiguity of the spatial distribution of hazards, it realizes the in-depth analysis of the spatial distribution features of potential hazards as well as the temporal and spatial trends in the dynamic process of ship navigation. To break through the technical problems of spatial analysis and perception of ship-encountered dangerous area sources. It offers a fresh approach for enhancing intelligent navigation's capacity for safety analysis of ship interactions.
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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:
- © 2023 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Liu, Zhichen
- Li, Ying
- Zhang, Zhaoyi
- Yu, Wenbo
- Han, Bing
- Du, YeGang
- Publication Date: 2023-6-15
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: 114373
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Serial:
- Ocean Engineering
- Volume: 278
- 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: Crash risk forecasting; Geographic information systems; Maritime safety; Navigation; Ships; Spatial analysis
- Subject Areas: Marine Transportation; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01882899
- Record Type: Publication
- Files: TRIS
- Created Date: May 23 2023 10:09AM