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11 October 2023 A spatial-temporal analysis approach to global maritime accidents with accident point density clustering
Weihua Liu, Shenping Hu, Shaoyong Xuan, Jinhui Wang, Bing Han, Jihong Chen
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Proceedings Volume 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023); 129181M (2023) https://doi.org/10.1117/12.3009392
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, Wuhan, China
Abstract
Global maritime accidents have a wide range of spatiotemporal differentiation characteristics, and it is an interesting problem that can be tried to seek efficient and scientific algorithms to recognize the spatiotemporal differentiation characteristics of global maritime accidents. Through the analysis of the data structure of marine traffic accidents, a global spatiotemporal differentiation analysis method for marine accidents based on accident point density clustering is proposed. A two-dimensional kernel density algorithm and a density-based clustering method with noise are introduced, and a clustering fusion algorithm based on spatial meshing and point density is established to reveal the spatiotemporal differentiation characteristics of global maritime accidents. Combined marine traffic accidents with the spatial and temporal information obtained on IMO GISIS in the past 30 years, the cluster fusion algorithm is applied to reveal spatiotemporal differentiation characteristics. The results show that the data efficiency of global maritime traffic accidents has been greatly improved with the wide application of AIS. The global maritime accident hot-spots are basically stable in Western Europe, the pan-Mediterranean and East Asia, South Asia, etc. Greater cooperation among neighboring port states, can effectively improve maritime traffic safety, especially in maritime search and recuse cooperation. The clustering fusion algorithm based on spatial meshing and point density can be further applied to the scenarios application in the regional scope, so as to clearly reflect the temporal and spatial differentiation characteristics of maritime accidents in the scenarios.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Weihua Liu, Shenping Hu, Shaoyong Xuan, Jinhui Wang, Bing Han, and Jihong Chen "A spatial-temporal analysis approach to global maritime accidents with accident point density clustering", Proc. SPIE 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 129181M (11 October 2023); https://doi.org/10.1117/12.3009392
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KEYWORDS
Analytical research
Statistical analysis
Data mining
Geographic information systems
Oceanography
Spatial analysis
Transportation
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