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Elucidation of Latent Risk of Navigation Using an Actual Ship Behavior Analysis
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作者 Xinjia Gao Hidenari Makino Masao Furusho 《Journal of Traffic and Transportation Engineering》 2016年第3期131-140,共10页
In recent years, maritime transportation has played an important role in global economy development. As a result, ship traffic has become more congested. Moreover, ship navigation is susceptible to weather and environ... In recent years, maritime transportation has played an important role in global economy development. As a result, ship traffic has become more congested. Moreover, ship navigation is susceptible to weather and environmental conditions, and in some cases, it may become dangerous. Therefore, vessels are subjected to high-risk navigation conditions. To understand the latent risk of ship navigation, this study focused on the actual ship behavior. Thus, an analysis of ship behavior was carded out using historical ship navigation based on automatic identification system data. Consequently, a dynamic analysis of the speed and encounter situation was performed. One of the main results of this work was the understanding of the latent risk involved in ships navigating the Seto Inland Sea, which is one of the most congested routes in Japan. Moreover, the risk areas were obtained, and visualized using a geographical information system. The obtained results can be applied to ensure safe navigation and the development of a safe and efficient navigation model. 展开更多
关键词 maritime traffic latent risk ship behavior analysis AIS (automatic identification system) data navigation model
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Visualization and visual analysis of vessel trajectory data: A survey 被引量:3
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作者 Haiyan Liu Xiaohui Chen +4 位作者 Yidi Wang Bing Zhang Yunpeng Chen Ying Zhao Fangfang Zhou 《Visual Informatics》 EI 2021年第4期1-10,共10页
Maritime transports play a critical role in international trade and commerce.Massive vessels sailing around the world continuously generate vessel trajectory data that contain rich spatial–temporal patterns of vessel... Maritime transports play a critical role in international trade and commerce.Massive vessels sailing around the world continuously generate vessel trajectory data that contain rich spatial–temporal patterns of vessel navigations.Analyzing and understanding these patterns are valuable for maritime traffic surveillance and management.As essential techniques in complex data analysis and understanding,visualization and visual analysis have been widely used in vessel trajectory data analysis.This paper presents a literature review on the visualization and visual analysis of vessel trajectory data.First,we introduce commonly used vessel trajectory data sets and summarize main operations in vessel trajectory data preprocessing.Then,we provide a taxonomy of visualization and visual analysis of vessel trajectory data based on existing approaches and introduce representative works in details.Finally,we expound on the prospects of the remaining challenges and directions for future research. 展开更多
关键词 maritime traffic Vessel trajectory data Automatic identification system Visualization and visual analysis
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