会议论文详细信息
2019 2nd International Conference of Green Buildings and Environmental Management
Shipping Density Assessment Based on Trajectory Big Data
生态环境科学
Dai, Zeyuan^1 ; Zhang, Lihua^1 ; Jia, Shuaidong^1 ; Pang, Hengxiu^2
Department of Military Oceanography and Hydrography and Cartography, Dalian Naval Academy, Dalian, Liaoning
116018, China^1
North Theater Command Navy Support Team of Battlefield Environment of PLA, Qingdao, Shandong
266003, China^2
关键词: Evaluation index;    Information transmission;    Maritime shipping;    Maritime traffic;    Situational awareness;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/310/2/022032/pdf
DOI  :  10.1088/1755-1315/310/2/022032
学科分类:环境科学(综合)
来源: IOP
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【 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.

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