文章基本信息

标题：Research on the Prediction Model for the Security Situation of Metro Station Based on PSO/SVM
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作者：Yong Qin ; Zhenyu Zhang ; Bo Chen 等
期刊名称：Journal of Intelligent Learning Systems and Applications
印刷版ISSN：2150-8402
电子版ISSN：2150-8410
出版年度：2013
卷号：5
期号：4
页码：237-244
DOI：10.4236/jilsa.2013.54028
出版社：Scientific Research Publishing
摘要：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.
关键词：Situation Awareness; Situation Prediction; Index System; PSO; SVM