Research on the Impact of Key Equipment Failure on Subway Station Capacity
Sai Li, Xiukun Wei
Available Online December 2018.
- https://doi.org/10.2991/tlicsc-18.2018.31How to use a DOI?
- Subway station capacity, key equipment failure, binomial distribution, AnyLogic.
- 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.
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 -