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Emergency evacuation capability assessment of subway operation based on Artificial Neural Network | IEEE Conference Publication | IEEE Xplore

Emergency evacuation capability assessment of subway operation based on Artificial Neural Network

Publisher: IEEE

Abstract:

Subway has become one of main means of transportation all over the world. How to deal with sudden subway accident is the serious problem the whole world should face to. I...View more

Abstract:

Subway has become one of main means of transportation all over the world. How to deal with sudden subway accident is the serious problem the whole world should face to. In view of subway security issues, choosing one of Beijing metro lines as the research example, building a warning index system include of 14 indexes such as fire warning ability, power system, etc. and using the neural network model to simulate and assess the emergency evacuation capacity of the subway example. The assessment results show that the overall emergency evacuation ability can only catch the average level. The subway example have the characters of built early time, relatively old technical level, long operation time, a large number of exchange station along the central and large traffic lines, large amount passengers all the year round. Then it is put forward to increase the subway station evacuation ability, especially transfer subway lines as well as the station with the weak ability of evacuation exit, which provides a reference for improving the capacity of the subway emergency evacuation.
Date of Conference: 13-15 August 2016
Date Added to IEEE Xplore: 24 October 2016
ISBN Information:
Publisher: IEEE
Conference Location: Changsha, China

References

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