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

DOI

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.

Copyright

© 2018, 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/).

Download article (PDF)

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  - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SP  - 193
EP  - 199
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.31
DO  - 10.2991/tlicsc-18.2018.31
ID  - Li2018/12
ER  -