Collision risk assessment for ships' routeing waters: An information entropy approach with Automatic Identification System (AIS) data

Feng Hongxiang; Grifoll Manel; Yang ZhongzhenZheng Pengjun

首页> 外文期刊>Ocean & coastal management >Collision risk assessment for ships' routeing waters: An information entropy approach with Automatic Identification System (AIS) data

【24h】

Collision risk assessment for ships' routeing waters: An information entropy approach with Automatic Identification System (AIS) data

机译：Collision risk assessment for ships' routeing waters: An information entropy approach with Automatic Identification System (AIS) data

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

The ship's routing was adopted to organise marine traffic flow and reduce the risk of collision between ships in crowded waters. With the expansion of the world's fleet, ship traffic in shipping bottleneck and chokepoint areas became more and more busy and complex creating serious challenges for navigational safety. Therefore, quantitative collision risk assessment is significantly important for the ships' routeing waters. In this paper, the information entropy method which integrates the K-means clustering based on Automatic Identification System (AIS) data is introduced to quantitatively evaluate the collision risks in the ships' routeing waters. As a case study, the information entropy of Courses Over Ground (COG) for Ningbo-Zhoushan Port (the largest port in the world since 2009) is calculated by using historical AIS data. Then the K-means clustering is used to group the bytes of information entropy of the different legs in the shipping route. We find that in Ningbo-Zhoushan port Precautionary Area (PA) 2, 4 and 7 are the highest risk legs; PA 1, 5 and 6, Traffic Separation Scheme (TSS) 16, and 17 are medium-high risk areas. Therefore, ship collision risk prevention measures should be prioritised in those legs. Our contributions provide a novel approach to quantitatively assess ship collision risks in busy waters.

著录项

来源
《Ocean & coastal management》 |2022年第6期|106184.1-106184.12|共12页
作者
Feng Hongxiang; Grifoll Manel; Yang ZhongzhenZheng Pengjun;
展开▼
作者单位

Ningbo Univ, Fac Maritime & Transportat, Ningbo 315832, Peoples R China;

Univ Politecn Catalunya BarcelonaTech, Barcelona Sch Naut Studies, Barcelona Innovat Transport BIT, Barcelona 08003, Spain|Univ Politecn Catalunya BarcelonaTech, Sch Civil Engn, Barcelona 08003, Spain;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词
Automatic identification system (AIS); Ship collision risk assessment; Information entropy; K-means clustering; Ningbo-zhoushan port;

Collision risk assessment for ships' routeing waters: An information entropy approach with Automatic Identification System (AIS) data

摘要

著录项

相关主题

期刊订阅