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16 May 2024 Analysis of spatio-temporal characteristics of ships in Yangtze River estuary deepwater channel based on AIS data
Rui Li, Jinbiao Chen
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Proceedings Volume 13160, Fourth International Conference on Smart City Engineering and Public Transportation (SCEPT 2024); 131600N (2024) https://doi.org/10.1117/12.3030520
Event: 4th International Conference on Smart City Engineering and Public Transportation (SCEPT 2024), 2024, Beijin, China
Abstract
Ship AIS data contains spatio-temporal information, and the spatio-temporal characteristics of ship behaviour can be obta ined by mining and analyzing a large amount of AIS data. The deep water channel of the Yangtze River estuary has a lar ge traffic flow of ships, limited navigation resources, and frequent congestion of navigation vessels, resulting in a chaotic navigation order. In view of this situation, this study collected AIS data from vessels in the lower part of the deep water channel on spring tide, medium tide and neap tide days combined with the tidal pattern of the day to perform spatio-temp oral clustering analysis. The conclusion was drawn that the distribution of vessel density in the deepwater channel was un even in time and the traffic-intensive period was the high tide phase. Based on this, proposals are made to extend the control time by 0.5 hours and to create a template for key time ship entry plans according to the current traffic situation of the deepwater channel, in order to improve the traffic order in the channel, enhance the navigation efficiency of the channel and ensure the safety of ship navigation.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Rui Li and Jinbiao Chen "Analysis of spatio-temporal characteristics of ships in Yangtze River estuary deepwater channel based on AIS data", Proc. SPIE 13160, Fourth International Conference on Smart City Engineering and Public Transportation (SCEPT 2024), 131600N (16 May 2024); https://doi.org/10.1117/12.3030520
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KEYWORDS
Artificial intelligence
Analytical research
Safety
Data processing
Visualization
Navigation systems
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