Open AccessShipping Density Assessment Based on Trajectory Big Data
Author(s) -
Zeyuan Dai,
Lihua Zhang,
Shuaidong Jia,
Hengxiu Pang
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/310/2/022032
Subject(s) - economic shortage , trajectory , big data , computer science , index (typography) , grid , situation analysis , situational ethics , operations research , situation awareness , transport engineering , data mining , business , engineering , geography , geodesy , government (linguistics) , linguistics , philosophy , physics , marketing , astronomy , world wide web , aerospace engineering , political science , law
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.