TITLE:
Research on the Prediction Model for the Security Situation of Metro Station Based on PSO/SVM
AUTHORS:
Yong Qin, Zhenyu Zhang, Bo Chen, Zongyi Xing, Jing Liu, Jun Li
KEYWORDS:
Situation Awareness; Situation Prediction; Index System; PSO; SVM
JOURNAL NAME:
Journal of Intelligent Learning Systems and Applications,
Vol.5 No.4,
November
26,
2013
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.