水路运输在我国商品贸易和物流中占据着重要的地位，随着经济的发展，我国内河航运和海上运输船舶的数量不断创新高，为了加强内河航运和海上航运交通管理部门对于船舶的监管水平，提升航道内船舶的交通安全，研究船舶交通流行为特征具有非常重要的意义。本文分别从海上船舶交通流行为的基本特征和提取算法等方面入手，介绍海上船舶交通流行为特征提取系统的构成，阐述交通流行为特征提取的算法原理。
Waterway transport plays an important role in China's commodity trade and logistics. With the development of economy, the number of inland shipping and maritime transport ships in China is constantly reaching new heights. In order to strengthen the supervision level of inland shipping and maritime shipping traffic management departments for ships, and improve the traffic safety of ships in the waterway, it is of great significance to study the characteristics of ship traffic prevalence. This paper introduces the composition of the feature extraction system of marine vessel traffic epidemic from the aspects of the basic features and extraction algorithm of marine vessel traffic epidemic, and expounds the algorithm principle of the feature extraction of marine vessel traffic epidemic.
2022,44(19): 42-45 收稿日期：2022-06-02
DOI：10.3404/j.issn.1672-7649.2022.19.009
分类号：U642.58
作者简介：李子强(1984-)，男，硕士，副教授，研究方向为交通信息工程控制及水上交通环境与安全保障
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