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Visualization and visual analysis of vessel trajectory data: A survey

Visual Informatics 2021年第4期5卷 1-10页

作者： Haiyan Liu Xiaohui Chen Yidi Wang Bing Zhang Yunpeng Chen Ying Zhao Fangfang Zhou Institute of Data and Target Engineering Information Engineering UniversityZhengzhouChina School of Computer Science and Engineering Central South UniversityChangshaChina Rail Data Research and Application Key Laboratory of Hunan Province ChangshaChina

maritime transports play a critical role in international trade and *** vessels sailing around the world continuously generate vessel trajectory data that contain rich spatial–temporal patterns of vessel *** and understanding these patterns are valuable for maritime traffic surveillance and *** essential techniques in complex data analysis and understanding,visualization and visual analysis have been widely used in vessel trajectory data *** paper presents a literature review on the visualization and visual analysis of vessel trajectory ***,we introduce commonly used vessel trajectory data sets and summarize main operations in vessel trajectory data ***,we provide a taxonomy of visualization and visual analysis of vessel trajectory data based on existing approaches and introduce representative works in ***,we expound on the prospects of the remaining challenges and directions for future research.

关键词： maritime traffic Vessel trajectory data Automatic identification system Visualization and visual analysis

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Elucidation of Latent Risk of Navigation Using an Actual Ship Behavior Analysis

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Journal of traffic and Transportation Engineering 2016年第3期4卷 131-140页

作者： Xinjia Gao Hidenari Makino Masao Furusho Graduate School of maritime Sciences Kobe University Hyogo 658-0022 Japan Naval Architecture & Ocean Engineering Osaka University Osaka 565-0871 Japan

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.

关键词： maritime traffic latent risk ship behavior analysis AIS (automatic identification system) data navigation model

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