Ship Trajectories Pre-processing Based on AIS Data

被引：98

作者：

Zhao, Liangbin ^{[1
]}

Shi, Guoyou ^{[1
]}

Yang, Jiaxuan ^{[1
]}

机构：

[1] Dalian Maritime Univ, Nav Coll, Dalian, Peoples R China

来源：

JOURNAL OF NAVIGATION | 2018年 / 71卷 / 05期

基金：

中国国家自然科学基金;

关键词：

1. AIS Trajectories; 2. AIS error; 3. Data quality; 4; Pre-processing; IDENTIFICATION SYSTEM AIS; KNOWLEDGE DISCOVERY; COLLISION RISK; MARITIME; PATTERNS; COAST;

D O I：

10.1017/S0373463318000188

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

Data derived from the Automatic Identification System (AIS) plays a key role in water traffic data mining. However, there are various errors regarding time and space. To improve availability, AIS data quality dimensions are presented for detecting errors of AIS tracks including physical integrity, spatial logical integrity and time accuracy. After systematic summary and analysis, algorithms for error pre-processing are proposed. Track comparison maps and traffic density maps for different types of ships are derived to verify applicability based on the AIS data from the Chinese Zhoushan Islands from January to February 2015. The results indicate that the algorithms can effectively improve the quality of AIS trajectories.

引用

页码：1210 / 1230

页数：21

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