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
International ports play critical roles in maintaining transportation flows and sustaining the effectiveness of global maritime logistics.Although the concept of versatile ports has been introduced to represent the sp...International ports play critical roles in maintaining transportation flows and sustaining the effectiveness of global maritime logistics.Although the concept of versatile ports has been introduced to represent the specific patterns that these ports play at the regional and global levels,there is still a need for the design and development of computational approaches that support these notions.This paper introduces a flexible multi-layer network approach for an international maritime network whose interest is that it offers a flexible model that favours the identification of the different transportation flows and versatile ports.The model is complemented by a series of structural indices complemented by a new overlap measure that evaluates the specific role of a given port across various transportation trades.The whole approach is implemented and experimented with using massive AIS maritime data that supports the automatic generation of the multi-layer network,and derivation of the structural measures while maintaining a flexible view of the maritime network.The experiments applied to the global maritime transportation network identify key versatile ports and highlight significant differences at the regional and trade flow levels.展开更多
基金supported in part by the National Natural Science Foundation of China(No.41801313,41901397,and 61872388).
文摘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.
基金supported by the National Natural Science Foundation of China[grant number 42001391]the Yongth Project of Innovation LREIS[grant number YPI002]The authors also appreciate the Chinese Academy of Sciences President's International Fellowship Initiative[grant number 2021VTA0002].
文摘International ports play critical roles in maintaining transportation flows and sustaining the effectiveness of global maritime logistics.Although the concept of versatile ports has been introduced to represent the specific patterns that these ports play at the regional and global levels,there is still a need for the design and development of computational approaches that support these notions.This paper introduces a flexible multi-layer network approach for an international maritime network whose interest is that it offers a flexible model that favours the identification of the different transportation flows and versatile ports.The model is complemented by a series of structural indices complemented by a new overlap measure that evaluates the specific role of a given port across various transportation trades.The whole approach is implemented and experimented with using massive AIS maritime data that supports the automatic generation of the multi-layer network,and derivation of the structural measures while maintaining a flexible view of the maritime network.The experiments applied to the global maritime transportation network identify key versatile ports and highlight significant differences at the regional and trade flow levels.
