A Study on the Risk Analysis based on the Trajectory of Fishing Vessels in the VTS Area

Ji-Hyun Oh , Kwang-il Kim , Jung-Sik Jeong
{"title":"A Study on the Risk Analysis based on the Trajectory of Fishing Vessels in the VTS Area","authors":"Ji-Hyun Oh ,&nbsp;Kwang-il Kim ,&nbsp;Jung-Sik Jeong","doi":"10.1016/j.enavi.2015.06.004","DOIUrl":null,"url":null,"abstract":"<div><p>According to the statistics of the last five years, fishing vessel accidents accounted for about 80% of collisions of all ships and has led to many casualties. To prevent collision accidents, it is important to assess the collision risk potential related to the sailing characteristics of fishing vessels. The authors represented the traffic patterns of vessels that sail around Wando waters based on Automatic Identification System (AIS) and Radio Detecting and Ranging (RADAR) data. The authors analyzed the statistical near miss data between fishing vessels and non-fishing vessels in the Wando Vessel Traffic Services (VTS) area and assessed the risk of ship collisions. From this research, the authors identified waters with a high risk of ship collisions. The analyzed results can be used as basic data to develop collision prevention strategies which aides the decision making and efficient operation of VTS officers (VTSO).</p></div>","PeriodicalId":100696,"journal":{"name":"International Journal of e-Navigation and Maritime Economy","volume":"2 ","pages":"Pages 38-46"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.enavi.2015.06.004","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of e-Navigation and Maritime Economy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405535215000583","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

According to the statistics of the last five years, fishing vessel accidents accounted for about 80% of collisions of all ships and has led to many casualties. To prevent collision accidents, it is important to assess the collision risk potential related to the sailing characteristics of fishing vessels. The authors represented the traffic patterns of vessels that sail around Wando waters based on Automatic Identification System (AIS) and Radio Detecting and Ranging (RADAR) data. The authors analyzed the statistical near miss data between fishing vessels and non-fishing vessels in the Wando Vessel Traffic Services (VTS) area and assessed the risk of ship collisions. From this research, the authors identified waters with a high risk of ship collisions. The analyzed results can be used as basic data to develop collision prevention strategies which aides the decision making and efficient operation of VTS officers (VTSO).

基于VTS区域渔船轨迹的风险分析研究
据近5年统计,渔船事故约占所有船舶碰撞事故的80%,造成了大量人员伤亡。为了防止碰撞事故的发生,对渔船的航行特性进行碰撞风险评估是十分重要的。作者根据自动识别系统(AIS)和无线电探测与测距(RADAR)数据,描绘了在莞岛海域航行的船只的交通模式。分析了莞岛船舶交通服务(VTS)区域渔船和非渔船的统计近靶数据,并对船舶碰撞风险进行了评估。从这项研究中,作者确定了船舶碰撞风险高的水域。分析结果可作为制定防撞策略的基础数据,为VTS官员的决策和高效运行提供依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信