Simulation Study of Passenger Flow Characteristics in Subway Passage

被引:0
|
作者
Liang, Xiao [1 ]
Qin, Hao-yu [2 ]
Xie, Mei-quan [3 ]
机构
[1] Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing, Peoples R China
[2] Wuhan Metro, Wuhan, Peoples R China
[3] Cent S Univ, Sch Traff & Transportat Engn, Changsha, Peoples R China
来源
2016 INTERNATIONAL CONFERENCE ON COMPUTATIONAL MODELING, SIMULATION AND APPLIED MATHEMATICS (CMSAM 2016) | 2016年
关键词
Subway; Transfer passage; Passenger flow characteristics; Simulation; Anylogic;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The characteristic of passenger flow in subway passage is an important factor in allocating transfer facilities, evaluating service level and increasing operational efficiency. This paper took the example of Dongzhimen subway station in Beijing as simulation scenario. A simulation model of passenger flow in transfer passage was developed using Anylogic software. An optimized path-choice algorithm had been made to improve the Anylogic, avoiding passenger congestion in the simulation. Through survey data, parameters in the model were calibrated and the model validation was proved. Moreover, the paper analyzed the sensitivity of passage width and width proportion of different transfer directions. The results show that: the improved simulation model has greatly relieved the blocked condition in the passage, caused by the original shortest path-choice algorithm in Anylogic model; the simulation data is in accord with measured data, verifying that the model is applicable in practice. From the sensitivity analysis, it is found that when passage width varies from 5 m to 7 m, the passenger intensity decreases, but the rate of the change increases first and decreases afterwards with the increasing passage width; when the bidirectional passenger volume is high, the variation of width proportion of different transfer directions has an obvious effect on passenger density and passenger intensity.
引用
收藏
页码:90 / 98
页数:9
相关论文
共 50 条
  • [31] The characteristics of passenger heat loss and thermal environment in a subway cabin
    Wu, Fan
    Huang, Yuhui
    Xu, Renze
    Yu, Chao
    Lin, Xiling
    Pan, Xiaowang
    Lu, Jun
    PHYSICS OF FLUIDS, 2025, 37 (03)
  • [32] Anylogic Simulation-based Research on Emergency Organization of Mass Passenger Flow in Subway Station after Events
    Xing, Yan
    Liu, Shuang
    Wang, Huiwen
    PROCEEDINGS OF THE 2018 3RD INTERNATIONAL CONFERENCE ON MODELLING, SIMULATION AND APPLIED MATHEMATICS (MSAM 2018), 2018, 160 : 48 - 53
  • [33] Numerical simulation of flow and heat transfer characteristics in passage with triangular pyramids
    Bao F.
    Hou C.
    Jiang Y.
    Hangkong Dongli Xuebao/Journal of Aerospace Power, 2020, 35 (12): : 2543 - 2552
  • [34] A Simulation-Based Passenger Inflow Control Method on Subway Network
    Sun, Jieping
    Jiang, Xi
    Huang, Yanjun
    Liu, Zuanjie
    Fu, Haoyang
    CICTP 2020: ADVANCED TRANSPORTATION TECHNOLOGIES AND DEVELOPMENT-ENHANCING CONNECTIONS, 2020, : 2187 - 2198
  • [35] Towards simulation optimization of subway station considering refined passenger behaviors
    Wang, Yingping
    Yuan, Rui
    Tong, Xueying
    Bai, Zongning
    Hou, Yutong
    PLOS ONE, 2024, 19 (06):
  • [36] Subway Passenger Flow Forecasting With Multi-Station and External Factors
    Yan Danfeng
    Wang Jing
    IEEE ACCESS, 2019, 7 : 57415 - 57423
  • [37] Passenger Satisfaction Analysis of an Urban Subway Based on Travel Behaviour Characteristics
    Pan, Fuquan
    Cheng, Shuai
    Zhang, Lixia
    Yang, Xiaoxia
    Yang, Jinshun
    PROMET-TRAFFIC & TRANSPORTATION, 2025, 37 (01): : 122 - 136
  • [38] Effects of passenger blockage on smoke flow properties in subway station fires
    Fan Wu
    Yan Wang
    Ru Zhou
    Juncheng Jiang
    Environmental Science and Pollution Research, 2022, 29 : 65407 - 65422
  • [39] Correlation between heterogeneity and vulnerability of subway networks based on passenger flow
    Xiao, Xue-mei
    Jia, Li-min
    Wang, Yan-hui
    JOURNAL OF RAIL TRANSPORT PLANNING & MANAGEMENT, 2018, 8 (02) : 145 - 157
  • [40] A Passenger Flow Control Method for Subway Network Based on Network Controllability
    Zeng, Lu
    Liu, Jun
    Qin, Yong
    Wang, Li
    Yang, Jie
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2018, 2018