Research on the Number of Passengers on the Platform of Rail Transit Station Considering Congestion Propagation

doi:10.16182/j.issn1004731x.joss.21-0198

Abstract

Abstract:

It is the basis of improving the safety guarantee ability of urban rail transit system to study and master the change law of the number of passengers in the urban rail transit station under the condition of Congestion Propagation. From the point of view of multi subsystem of passenger, station and train, combined with the multi-attribute characteristics of passenger flow, platform and train, the calculation model of the number of passengers in urban rail transit station is established based on system dynamics. A multi group sensitivity simulation experiment is designed to analyze the influence factors of the number of passengers on the platform from multiple perspectives. The results show that there is a great difference between the congestion propagation condition and the normal condition in the change of the number of passengers in the station. The train departure interval, passenger arrival rate and destination ratio have a great influence on the change of the number of passengers in the station, and the influence of the train arrival interval is relatively limited. The research results can provide a scientific basis for the development of passenger flow organization strategies for stations with specific passenger flow characteristics.

Key words: urban rail transit, number of passengers, influencing factors, system dynamics, simulation calculation, sensitivity analysis

CLC Number:

TP391.9

Wei Chen, Zongping Li, Can Liu, Yanni Ju. Research on the Number of Passengers on the Platform of Rail Transit Station Considering Congestion Propagation[J]. Journal of System Simulation, 2022, 34(7): 1582-1592.

Figures/Tables 13

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Table 1

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References 16

1	陈伟, 李宗平, 余大本, 等. 基于耐受性的城市轨道交通车厢立席密度研究[J]. 交通运输系统工程与信息, 2020, 20(2): 225-230, 243.
	Chen Wei, Li Zongping, Yu Daben, et al. Standing Passenger Density of Urban Rail Transit Based on Tolerance[J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(2):225-230, 243.
2	王菲, 孙全欣, 毛保华, 等. 基于时刻表协调的同台换乘聚集人数计算模型[J]. 交通运输系统工程与信息, 2013, 13(3): 163-169.
	Wang Fei, Sun Quanxin, Mao Baohua, et al. Calculation Model for Passenger Assembling on One-platform-transfer Station Based on Timetable Coordination[J]. Journal of Transportation Systems Engineering and Information Technology, 2013, 13(3): 163-169.
3	赵保锋, 邹晓磊, 屈晓宜. 基于仿真的城市轨道交通站台客流滞留分级预警方法[J]. 城市轨道交通研究, 2017, 20(9): 107-110, 115.
	Zhao Baofeng, Zou Xiaolei, Qu Xiaoyi. Classification of Early Warning for Passenger Flow Retentionat Urban Rail Transit Station Based on Simulation[J]. Urban Mass Transit, 2017, 20(9): 107-110, 115.
4	傅晨琳, 黄敏, 张学强. 考虑不同滞留程度的城市轨道交通车站侧式站台人数计算模型[J]. 城市轨道交通研究, 2020, 23(1): 110-115.
	Fu Chenlin, Huang Min, Zhang Xueqiang. Calculation Model of Passenger Number on Urban Rail Transit Side Platform Under Different Retention Grades[J]. Urban Mass Transit, 2020, 23(1): 110-115.
5	张国奥, 马驷, 王琳. 地下两层标准车站疏散时间灵敏度仿真分析[J]. 系统仿真学报, 2021, 33(8): 1989-1996.
	Zhang Guoao, Ma Si, Wang Lin. Passenger Flow Sensitivity Analysis of Evacuation Time for Standard Subway Station[J]. Journal of System Simulation, 2021, 33(8): 1989-1996.
6	田思琪, 黄肇红, 罗冬梅, 等. 城市轨道交通车站局部空间拥堵风险等级评价方法研究[J]. 城市轨道交通研究,2019, 22(3): 31-35.
	Tian Siqi, Huang Zhaohong, Luo Dongmei, et al. Evaluation Method of the Congestion Risk Leve in the Local Space of Urban Rail Transit Station[J]. Urban Mass Transit, 2019, 22(3): 31-35.
7	李冰玉, 秦孝敏. 城市轨道交通网络大客流拥堵传播机理研究[J]. 中国安全科学学报, 2016, 26(1): 162-168.
	Li Bingyu, Qin Xiaomin. Study on Propagation Mechanism of Mass Passenger Flow Congestion in Urban Rail Transit Network[J]. China Safety Science Journal, 2016, 26(1): 163-168.
8	蒋阳升, 刘纹滔, 姚志洪. 基于元胞自动机的轨道交通突发客流拥堵消散演化机理研究[J]. 交通运输系统工程与信息, 2020, 20(5): 121-127.
	Jiang Yangsheng, Liu Wentao, Yao Zhihong. Evolution Mechanism of Congestion and Dissipation of Sudden Passenger Flow in Urban Rail Transit Based on Cellular Automaton[J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(5):121-127.
9	李曼, 王艳辉, 晋君, 等. 基于路网客流模态的城市轨道交通网络拥堵演变机理[J]. 东南大学学报(自然科学版), 2017, 47(2): 404-409.
	Li Man, Wang Yanhui, Jin Jun, et al. Network Congestion Evolution Law of Urban Rail Transit Based on Network Passenger Flow Mode[J]. Journal of Southeast University (Natural Science Edition), 2017,47(2): 404-409.
10	李晗, 范文慧, 冯袁, 等. 基于系统动力学的汽车连杆生产线建模与仿真[J]. 系统仿真学报, 2018, 30(9): 3351-3359.
	Li Han, Fan Wenhui, Feng Yuan, et al. Modeling and Simulation for Automobile Connecting Rod Production Line Based on System Dynamics[J]. Journal of System Simulation, 2018, 30(9): 3351-3359.
11	胡清梅. 轨道交通车站客流承载能力的评估与仿真研究[D]. 北京交通大学, 2011.
	Hu Qingmei. Passenger Carrying Capacity Evaluation and Simulation of Rail Transit Station[D]. Beijing: Beijing Jiaotong University, 2011.
12	王其藩. 系统动力学[M]. 上海:上海财经大学出版社,2009: 282-283.
	Wang Qifan. System Dynamics[M]. Shanghai: Shanghai University of Finance and Economics Press, 2009:282-283.
13	陈伟, 李宗平. 交通枢纽换乘系统有效承载力仿真研究[J].计算机仿真, 2021, 38(3): 46-50, 107.
	Chen Wei, Li Zongping. Simulation Study on Effective Bearing Capacity of Transfer System in Transportation Hub[J]. Computer Simulation, 2021, 38(3): 46-50, 107.
14	杨静, 代盛旭, 周浪雅, 等. 城市轨道交通相邻多车站动态协同限流研究[J]. 铁道运输与经济, 2020, 42(3):112-118.
	Yang Jing, Dai Shengxu, Zhou Langya, et al. A Study on Passenger Flow Control with Multi-station Dynamic Coordination in Urban Transit System[J]. Railway Transport and Economy, 2020, 42(3): 112-118.
15	Gao J H, Jia L M, Guo J Y. Applying System Dynamics to Simulate the Passenger Flow in Subway Stations[J]. Discrete Dynamics in Nature and Society (S1026-0226), 2019: 1-15.
16	陈艳艳, 陈兴斌, 吴克寒, 等. 基于IC卡数据的轨道站点候车时间特征分析[J]. 重庆交通大学学报(自然科学版), 2019, 38(1): 102-107.
	Chen Yanyan, Chen Xingbin, Wu Kehan, et al. Waiting Time Characteristics of Rail Transit Station Based on IC Card Data[J]. Journal of Chongqing Jiaotong University (Natural Science), 2019, 38(1): 102-107.

参数	调整前	方案1	方案2
列车发车间隔/min	4	3	3
列车到站间隔/min	1	1	1.5
乘客上行去向比例/%	7	7	15
乘客下行去向比例/%	93	93	85
乘客进入站台速率/(人/min)	200	180	180

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[2]	Zhang Guoao, Ma Si, Wang Lin. Passenger Flow Sensitivity Analysis of Evacuation Time for Standard Subway Station [J]. Journal of System Simulation, 2021, 33(8): 1989-1996.
[3]	Liu Feng, Shao Chunfu, Jia Hongfei, Dong Chunjiao. Simulation Evaluation for Service Facilities Distribution and Flow Lines Optimization on Urban Rail Transfer Station [J]. Journal of System Simulation, 2021, 33(7): 1670-1681.
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