基于贝叶斯网络和电子导航概念要素的口岸入境风险评估模型

IF 0.5 Q4 TRANSPORTATION
Mario Musulin, Grgo Kero, Hrvoje Nenad Musulin, David Brčić
{"title":"基于贝叶斯网络和电子导航概念要素的口岸入境风险评估模型","authors":"Mario Musulin, Grgo Kero, Hrvoje Nenad Musulin, David Brčić","doi":"10.31217/p.37.1.11","DOIUrl":null,"url":null,"abstract":"Most maritime accidents are caused by human error. To reduce these errors, increase safety, protect the marine environment, reduce the administrative burden, and optimize maritime trade, the International Maritime Organization (IMO) decided to implement a concept called e-Navigation. The term e-Navigation refers to the integration of the most modern information and communication systems, both on board and ashore. The research scope of this work is the safety of navigation of the ship during the port entrance. Particularly in this case, the elements that affect the safety of the ship during port entrance are analyzed in a case study of New York port. An adaptive model based on the Bayesian Belief Network (BBN) was created, which evaluates the decision-making elements and risk assessment for port entry. The model is adaptable in the context of the different port requirements. With the presented model, all entities (ships, shipping companies, and service providers) have insight into the estimated decision to enter the port based on the given elements. Further research needs to be continued on the issue of comparing the proposed model with similar models, and how much reliance on the model burdens or facilitates the Master’s decision.","PeriodicalId":44047,"journal":{"name":"Pomorstvo-Scientific Journal of Maritime Research","volume":" ","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Port Entry Risk Assessment Model Based on Bayesian Networks and Elements of the e-Navigation Concept\",\"authors\":\"Mario Musulin, Grgo Kero, Hrvoje Nenad Musulin, David Brčić\",\"doi\":\"10.31217/p.37.1.11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most maritime accidents are caused by human error. To reduce these errors, increase safety, protect the marine environment, reduce the administrative burden, and optimize maritime trade, the International Maritime Organization (IMO) decided to implement a concept called e-Navigation. The term e-Navigation refers to the integration of the most modern information and communication systems, both on board and ashore. The research scope of this work is the safety of navigation of the ship during the port entrance. Particularly in this case, the elements that affect the safety of the ship during port entrance are analyzed in a case study of New York port. An adaptive model based on the Bayesian Belief Network (BBN) was created, which evaluates the decision-making elements and risk assessment for port entry. The model is adaptable in the context of the different port requirements. With the presented model, all entities (ships, shipping companies, and service providers) have insight into the estimated decision to enter the port based on the given elements. Further research needs to be continued on the issue of comparing the proposed model with similar models, and how much reliance on the model burdens or facilitates the Master’s decision.\",\"PeriodicalId\":44047,\"journal\":{\"name\":\"Pomorstvo-Scientific Journal of Maritime Research\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-06-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pomorstvo-Scientific Journal of Maritime Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31217/p.37.1.11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"TRANSPORTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pomorstvo-Scientific Journal of Maritime Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31217/p.37.1.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0

摘要

大多数海事事故都是人为失误造成的。为了减少这些错误,提高安全性,保护海洋环境,减轻行政负担,优化海上贸易,国际海事组织(IMO)决定实施一项名为电子导航的概念。电子导航一词是指船上和岸上最现代化的信息和通信系统的集成。这项工作的研究范围是船舶在进港期间的航行安全。特别是在这种情况下,以纽约港为例,分析了影响船舶进港安全的因素,建立了一个基于贝叶斯信念网络的自适应模型,对进港决策因素和风险评估进行了评估。该模型适用于不同的端口需求。使用所提出的模型,所有实体(船舶、航运公司和服务提供商)都可以根据给定的元素深入了解进入港口的估计决策。需要继续研究将拟议模型与类似模型进行比较的问题,以及在多大程度上依赖该模型会给硕士的决定带来负担或便利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Port Entry Risk Assessment Model Based on Bayesian Networks and Elements of the e-Navigation Concept
Most maritime accidents are caused by human error. To reduce these errors, increase safety, protect the marine environment, reduce the administrative burden, and optimize maritime trade, the International Maritime Organization (IMO) decided to implement a concept called e-Navigation. The term e-Navigation refers to the integration of the most modern information and communication systems, both on board and ashore. The research scope of this work is the safety of navigation of the ship during the port entrance. Particularly in this case, the elements that affect the safety of the ship during port entrance are analyzed in a case study of New York port. An adaptive model based on the Bayesian Belief Network (BBN) was created, which evaluates the decision-making elements and risk assessment for port entry. The model is adaptable in the context of the different port requirements. With the presented model, all entities (ships, shipping companies, and service providers) have insight into the estimated decision to enter the port based on the given elements. Further research needs to be continued on the issue of comparing the proposed model with similar models, and how much reliance on the model burdens or facilitates the Master’s decision.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.50
自引率
0.00%
发文量
19
审稿时长
8 weeks
×
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