Communication System for Sharing and Providing Information about Threats and Incidents on Transport Infrastructure Elements

L. Michalcová, D. Rehak, M. Hromada
{"title":"Communication System for Sharing and Providing Information about Threats and Incidents on Transport Infrastructure Elements","authors":"L. Michalcová, D. Rehak, M. Hromada","doi":"10.1109/ECTIDAMTNCON57770.2023.10139737","DOIUrl":null,"url":null,"abstract":"Transport infrastructure currently faces many anthropogenic threats, resulting in an increasing number of security incidents. These are, for example, attacks with explosives or firearms in the premises of railway stations and connected transport infrastructures, e.g. in the premises of airports or bus terminals. For this reason, it is essential that the owners or operators of these transport infrastructure elements have an effective tool for the timely sharing and provision of information about threats and incidents on transport infrastructure elements. For this purpose, this article presents a list of the affected entities of the transport infrastructure and the content page of the information that should be shared and transmitted between these entities. The supporting part of the article is the design of the sharing process and providing information about threats/incidents and the design of a communication system and suitable technical means for sharing and providing information about threats.","PeriodicalId":38808,"journal":{"name":"Transactions on Electrical Engineering, Electronics, and Communications","volume":"65 1","pages":"253-257"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions on Electrical Engineering, Electronics, and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139737","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

Transport infrastructure currently faces many anthropogenic threats, resulting in an increasing number of security incidents. These are, for example, attacks with explosives or firearms in the premises of railway stations and connected transport infrastructures, e.g. in the premises of airports or bus terminals. For this reason, it is essential that the owners or operators of these transport infrastructure elements have an effective tool for the timely sharing and provision of information about threats and incidents on transport infrastructure elements. For this purpose, this article presents a list of the affected entities of the transport infrastructure and the content page of the information that should be shared and transmitted between these entities. The supporting part of the article is the design of the sharing process and providing information about threats/incidents and the design of a communication system and suitable technical means for sharing and providing information about threats.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
共享和提供有关运输基础设施要素威胁和事故信息的通信系统
交通基础设施目前面临许多人为威胁,导致安全事件日益增多。例如,用炸药或火器袭击火车站和相关运输基础设施的房地,例如机场或公共汽车总站的房地。因此,这些交通基础设施要素的所有者或经营者必须拥有一个有效的工具,以便及时分享和提供有关交通基础设施要素的威胁和事件的信息。为此,本文列出了受运输基础设施影响的实体,以及应该在这些实体之间共享和传输的信息的内容页。文章的支撑部分是对威胁/事件的共享过程和信息提供的设计,以及对共享和提供威胁信息的通信系统和合适的技术手段的设计。
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 去求助
来源期刊
Transactions on Electrical Engineering, Electronics, and Communications
Transactions on Electrical Engineering, Electronics, and Communications Engineering-Electrical and Electronic Engineering
CiteScore
1.60
自引率
0.00%
发文量
45
期刊最新文献
Improving Air Quality Prediction with a Hybrid Bi-LSTM and GAN Model Sentiment Analysis on Large-Scale Covid-19 Tweets using Hybrid Convolutional LSTM Based on Naïve Bayes Sentiment Modeling Collaborative Movie Recommendation System using Enhanced Fuzzy C-Means Clustering with Dove Swarm Optimization Algorithm A Performance of AFIRO among Asynchronous Iteration Strategy Metaheuristic Algorithms Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1