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

• 作者: Bo Chen Jing Liu Jun Li Yong Qin Zhenyu Zhang Zongyi Xing
• 来源期刊: 智能学习系统与应用(英文)
• 学科: 医学
• 关键词: SITUATION AWARENESS SITUATION PREDICTION INDEX System PSO SVM
• 年，卷（期）: 2013,（4）
• 页码范围: 237-244
• 页数: 8页
• 分类号: R73

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.