Research on the Prediction Model for the Security Situation of Metro Station Based on PSO/SVM

Yong Qin, Zhenyu Zhang, Bo Chen, Z. Xing, Jing Liu, Jun Li
{"title":"Research on the Prediction Model for the Security Situation of Metro Station Based on PSO/SVM","authors":"Yong Qin, Zhenyu Zhang, Bo Chen, Z. Xing, Jing Liu, Jun Li","doi":"10.4236/JILSA.2013.54028","DOIUrl":null,"url":null,"abstract":"Security situation awareness is a new \ntechnology about security. This paper brings it to the assessment of security \nsituation of metro station which serves as a new way to secure the security of \npassengers as well as the operation of the metro station. This paper sets up an \nindex system for assessing the security situation awareness and makes a \nprediction model for the security situation of metro station based on PSO/SVM \nafter doing lots of researches and analyses. Furthermore, through case studies, we find that the \nmodel has high accuracy and ability to accurately predict the security \nsituation of metro station in the future and a certain practical value.","PeriodicalId":69452,"journal":{"name":"智能学习系统与应用(英文)","volume":"05 1","pages":"237-244"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"智能学习系统与应用(英文)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.4236/JILSA.2013.54028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Security situation awareness is a new technology about security. This paper brings it to the assessment of security situation of metro station which serves as a new way to secure the security of passengers as well as the operation of the metro station. This paper sets up an index system for assessing the security situation awareness and makes a prediction model for the security situation of metro station based on PSO/SVM after doing lots of researches and analyses. Furthermore, through case studies, we find that the model has high accuracy and ability to accurately predict the security situation of metro station in the future and a certain practical value.
基于PSO/SVM的地铁车站安全态势预测模型研究
安全态势感知是一种新的安全技术。本文将其引入地铁车站安全态势评估,为保障乘客安全和地铁车站运营提供了一种新的途径。本文通过大量的研究和分析,建立了安全态势感知评价指标体系,并建立了基于粒子群算法/支持向量机的地铁车站安全态势预测模型。通过实例分析,发现该模型具有较高的准确率,能够准确预测未来地铁车站的安全状况,具有一定的实用价值。
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
135
×
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