Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Research on the Impact of Key Equipment Failure on Subway Station Capacity

Authors
Sai Li, Xiukun Wei
Corresponding Author
Xiukun Wei
Available Online December 2018.
DOI
https://doi.org/10.2991/tlicsc-18.2018.31How to use a DOI?
Keywords
Subway station capacity, key equipment failure, binomial distribution, AnyLogic.
Abstract
Under the complex passenger flow environment, the failure of key equipment will affect the subway station capacity (SSC), and the average travel time of passengers is considered as the evaluation indicator of subway station capacity. The key equipment capacity model and station capacity model considering key equipment failure are established using the idea of binomial distribution and mathematical expectation. Besides, Xinjiekou station in Beijing subway is taken as a case, and passenger flow simulation model based on AnyLogic is established. Finally, this paper analyzes the impact of key equipment failures on the average travel time of passengers on the base of passenger flow simulation model, and gives corresponding maintenance recommendations.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-621-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/tlicsc-18.2018.31How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Sai Li
AU  - Xiukun Wei
PY  - 2018/12
DA  - 2018/12
TI  - Research on the Impact of Key Equipment Failure on Subway Station Capacity
BT  - 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.31
DO  - https://doi.org/10.2991/tlicsc-18.2018.31
ID  - Li2018/12
ER  -