Journal of Dalian Maritime University >
2016 , Vol. 42 >Issue 1: 27 - 33
DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2016.01.006
Marine traffic macroscopic situation assessment model
Received date: 2015-05-28
Revised date: 2015-07-03
Online published: 2015-07-07
To achieve quantitative description and analysis on marine traffic macroscopic status and its evolution trend in specific water area, and to have a deeper understanding and mastery of the interaction of water transport system internal factors, the model of marine traffic macroscopic situation assessment was built according to the intrinsic characteristics of marine traffic macroscopic situation. Firstly, according to the characteristics of macroscopic situation, the macroscopic situation assessment indicators were analyzed, and the macroscopic situation assessment model based on the integration of density factor and looming factor was built, as well as the spatial distribution model. Then, the situation change was analyzed by gridding the water area, and extends to time dimension to build the prediction model. Finally, marine traffic situation assessment and visual analysis were carried out with living cases. Taking Shenzhen Western Port as an example, situation assessment and visualization applications were analyzed by utilizing regional AIS data as situational awareness data, as well as the changes and relevance of macroscopic situation with the selected indicator. Results show a good correlation between marine traffic macroscopic situation and indicator factors selected, which can better reflect the status and trends of water traffic, and provide a measurement tool for marine traffic macroscopic situation assessment and system security research of maritime traffic systems.
Key words: marine traffic; macroscopic situation; situation assessment
DU Lei , WEN Yuan-qiao , LI Zheng-qiang , SUN Teng-da , XIAO Chang-shi , ZHOU Chun-hui . Marine traffic macroscopic situation assessment model[J]. Journal of Dalian Maritime University, 2016 , 42(1) : 27 -33 . DOI: 10.16411/j.cnki.issn1006-7736.2016.01.006
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