基于 AIS 数据的港口水域船舶交通流时空分布特征研究

Tian Liu, Jianwen Ma, Yue Zhou
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引用次数: 0

摘要

随着船舶交通量的逐渐增加,水上交通管理变得越来越重要。本文以 AIS 数据为基础,采用层次分析法(Analytic Hierarchy Process)综合评价特定区域的相对危险程度,从而确定区域危险的相对后果(RCORH)。接下来,我们将以车速和交通量特征为指标,构建线性回归模型,进行空间关系分析。研究结果表明,本文提出的线性回归模型能够有效识别碰撞风险较高的区域,对提高港口水域的通航安全管理水平具有积极意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on spatiotemporal distribution characteristics of ship traffic flow in port waters based on AIS data
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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