Identifying Port Calls of Ships by Uncertain Reasoning with Trajectory Data

doi:10.3390/ijgi9120756

	Identifying Port Calls of Ships by Uncertain Reasoning with Trajectory Data
	Wu, Lin; Xu, Yongjun; Wang, Fei
	2020-12-01
发表期刊	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
卷号	9 期号:12 页码:13
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.
关键词	uncertainty reasoning port mining automatic identification system origin-destination trajectory data
DOI	10.3390/ijgi9120756
收录类别	SCI
语种	英语
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
WOS类目	Geography, Physical ; Remote Sensing
WOS记录号	WOS:000602175500001
出版者	MDPI
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/16603
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.