Research on spatiotemporal distribution characteristics of ship traffic flow in port waters based on AIS data

Tian  Liu; Jianwen  Ma; Yue  Zhou

doi:10.54691/nwfyf729

Authors

Tian Liu
Jianwen Ma
Yue Zhou

DOI:

https://doi.org/10.54691/nwfyf729

Keywords:

Traffic flow, danger level, relative consequences, linear regression model.

Abstract

With the gradual increase of ship traffic, water traffic management has become increasingly important. This paper is based on AIS data and uses the Analytic Hierarchy Process to comprehensively evaluate the relative hazard level of a specific area, in order to determine the relative consequences of regional hazards (RCORH). Next, we will use speed and traffic volume characteristics as indicators to construct a linear regression model for spatial relationship analysis. The research results indicate that the linear regression model proposed in this article can effectively identify areas with high collision risks, which has positive significance for improving the navigation safety management of port waters.

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