Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

Research on emergency evacuation of subway station based on mobile capability

Authors
Jinxing Ying, Jin Li
Corresponding Author
Jinxing Ying
Available Online May 2017.
DOI
10.2991/msmee-17.2017.169How to use a DOI?
Keywords
emergency evacuation, subway, congestion degree
Abstract

The rapid development of the subway contributes to public transportation, but at the same time the emergency evacuation of subway traffic puts forward higher requirements. At present, most of the studies on the emergency evacuation of the subway have neglected the differences in the mobility of different people in the subway stations, those studies are running out of time. In this paper, the evacuation population is divided into four categories to evacuate separately. Combining the theory of congestion, the relationship between different initial congestion degree and total evacuation time is obtained using dynamic programming method. The results show that when the population with different speed is evacuated separately, the optimal initial congestion degree exists and total evacuation time can reach minimum.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
10.2991/msmee-17.2017.169
ISSN
2352-5401
DOI
10.2991/msmee-17.2017.169How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jinxing Ying
AU  - Jin Li
PY  - 2017/05
DA  - 2017/05
TI  - Research on emergency evacuation of subway station based on mobile capability
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 872
EP  - 875
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.169
DO  - 10.2991/msmee-17.2017.169
ID  - Ying2017/05
ER  -