Abstract
Metro station is one of the most important parts in the metro system. Once an accident occurs, it will cause a lot of casualties and property losses. To ensure the safety of the station operation, accurately predicting the safety status of metro station is of great significance. The paper analyzed the influencing factors of metro station’s safety status, and established the metro station safety status prediction model based on GA-SVR. The results show that safety status prediction model based on GA-SVR can predict the trend of metro station safety status accurately, which makes the change from passive safety to active safety and has good practical value.
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Acknowledgments
The authors would like to express our thanks to the editor and anonymous reviewers for their help in revising the manuscript. This research is sponsored by national natural science foundation of China (No. 61374157). The support is gratefully acknowledged.
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Zhang, Z. et al. (2016). Metro Station Safety Status Prediction Based on GA-SVR. In: Qin, Y., Jia, L., Feng, J., An, M., Diao, L. (eds) Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation. Lecture Notes in Electrical Engineering, vol 378. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49370-0_7
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DOI: https://doi.org/10.1007/978-3-662-49370-0_7
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