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

Yong Qin, Zhenyu Zhang, Bo Chen, Zongyi Xing, Jing Liu, Jun Li

Guangzhou Metro Corporation, Guangzhou, China..
School of Automation, Nanjing University of Science and Technology, Nanjing, China.
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China.
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China;Tianjin Metro Operation Co., Ltd., Tianjin, China.

DOI: 10.4236/jilsa.2013.54028                

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.

Keywords

Situation Awareness; Situation Prediction; Index System; PSO; SVM

Conflicts of Interest

The authors declare no conflicts of interest.

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