Anylogic Simulation-based Research on Emergency Organization of Mass Passenger Flow in Subway Station after Events
- https://doi.org/10.2991/msam-18.2018.11How to use a DOI?
- urban traffic; operation organization; Anylogic; mass passenger flow after events; subway station
The sudden mass passenger after social events can make huge impact on the normal operation of rail transit station. This paper mainly studies on the influence of mass passenger flow after special events on the passenger organization of the station nearby. Based on the investigation of station facilities and passenger flow data, this paper compares and analyzes the characteristics of passenger flow and measures of passenger organization on weekdays and the activity days. The station facilities and pedestrian movement simulation models are built using Anylogic. According to the congestion level and service level standard, this paper describes the influence of mass passenger flow after special events on the subway station. Then the optimized measures on operational organization are put forward to simulate and compared with simulation platform. Considering the different characteristics in different activities, we grade the impact of the events with different attendance on the subway stations from the aspect of congestion. Finally the optimized joint measures on operational organization for different impact levels are put forward by constructing an effective communication management between the venues and the subway stations.
- © 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/).
Cite this article
TY - CONF AU - Yan Xing AU - Shuang Liu AU - Huiwen Wang PY - 2018/07 DA - 2018/07 TI - Anylogic Simulation-based Research on Emergency Organization of Mass Passenger Flow in Subway Station after Events BT - Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018) PB - Atlantis Press SP - 48 EP - 53 SN - 1951-6851 UR - https://doi.org/10.2991/msam-18.2018.11 DO - https://doi.org/10.2991/msam-18.2018.11 ID - Xing2018/07 ER -