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

Qin, Yong and Zhang, Zhenyu and Chen, Bo and Xing, Zongyi and Liu, Jing and Li, Jun (2013) Research on the Prediction Model for the Security Situation of Metro Station Based on PSO/SVM. Journal of Intelligent Learning Systems and Applications, 05 (04). pp. 237-244. ISSN 2150-8402

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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.

Item Type: Article
Subjects: Asian STM > Engineering
Depositing User: Managing Editor
Date Deposited: 27 Jan 2023 06:04
Last Modified: 06 Mar 2024 04:17
URI: http://journal.send2sub.com/id/eprint/513

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