Identifying Port Calls of Ships by Uncertain Reasoning with Trajectory Data
文献类型:期刊论文
作者 | Wu, Lin; Xu, Yongjun; Wang, Fei |
刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
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出版日期 | 2020-12-01 |
卷号 | 9期号:12页码:13 |
关键词 | uncertainty reasoning port mining automatic identification system origin-destination trajectory data |
DOI | 10.3390/ijgi9120756 |
英文摘要 | Considering that ports are key nodes of the maritime transport network, it is of great importance to identify ships' arrivals and departures. Compared with partial proprietary data from a port authority or shipping company, approaches based on compulsory Automatic Identification System (AIS) data reported by ships can produce transparent datasets covering wider areas, which is necessary for researchers and policy makers. Detecting port calls based on trajectory data is a difficult problem due to the huge uncertainty inherent in information such as ships' ambiguous statuses and ports' irregular boundaries. However, we noticed that little attention has been paid to this fundamental problem of shipping network analysis, and considerable noise may have been introduced in previous work on maritime network assessment based on AIS data, which usually modeled each port as a circle with a fixed radius such as 1 or 2 km. In this paper, we propose a method for identifying port calls by uncertain reasoning with trajectory data, which represents each port with an arbitrary shape as a set of geographical grid cells belonging to berths inside this port. Based on this high-spatial-resolution representation, port calls were identified when a ship was in any of these cells. Our method was implemented with around 14 billion AIS messages worldwide over 8 months, and examples of the results are provided. |
资助项目 | National Natural Science Foundation of China (NSFC)[61902376] ; National Natural Science Foundation of China (NSFC)[61602487] |
WOS研究方向 | Physical Geography ; Remote Sensing |
语种 | 英语 |
WOS记录号 | WOS:000602175500001 |
出版者 | MDPI |
源URL | [http://119.78.100.204/handle/2XEOYT63/16602] ![]() |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Wu, Lin |
作者单位 | Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Wu, Lin,Xu, Yongjun,Wang, Fei. Identifying Port Calls of Ships by Uncertain Reasoning with Trajectory Data[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2020,9(12):13. |
APA | Wu, Lin,Xu, Yongjun,&Wang, Fei.(2020).Identifying Port Calls of Ships by Uncertain Reasoning with Trajectory Data.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,9(12),13. |
MLA | Wu, Lin,et al."Identifying Port Calls of Ships by Uncertain Reasoning with Trajectory Data".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 9.12(2020):13. |
入库方式: OAI收割
来源:计算技术研究所
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