文章基本信息

标题：Shipping Density Assessment Based on Trajectory Big Data
本地全文：下载
作者：Zeyuan Dai ; Lihua Zhang ; Shuaidong Jia 等
期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：310
期号：2
页码：1-9
DOI：10.1088/1755-1315/310/2/022032
出版社：IOP Publishing
摘要：Due to the current shortage of maritime shipping density assessment methods, a method of shipping density assessment based on trajectory big data is proposed. Firstly, in order to obtain the trajectories following the actual situation, the AIS data is pre-processed. Secondly, as the minimum calculation unit, the grid is constructed, and the shipping density assesses evaluation index is established by comprehensively considering among the travel time, information transmission and the number of vessel crossing grids. Finally, with the proposed evaluation index, the shipping density is assessed quantitatively. The experimental results show that the proposed method can characterize the maritime shipping density and provide a new solution for maritime traffic situational awareness.