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考虑拥堵传播的轨道交通车站站台承载人数研究
引用本文:陈伟,李宗平,刘灿,鞠艳妮.考虑拥堵传播的轨道交通车站站台承载人数研究[J].系统仿真学报,2022,34(7):1582-1592.
作者姓名:陈伟  李宗平  刘灿  鞠艳妮
作者单位:1.西南交通大学 交通运输与物流学院,四川 成都 6100312.西南交通大学 综合交通运输智能化国家地方联合工程实验室,四川 成都 6100313.西南交通大学 综合运输四川省重点实验室,四川 成都 610031
基金项目:国家重点研发计划(2017YFB1200702)
摘    要:掌握拥堵传播条件下的轨道交通车站承载人数变化规律,是提高城市轨道交通系统安全保障能力的基础。从人、站、车多子系统角度出发,结合客流、站台及列车多属性特征,建立基于系统动力学的城市轨道交通车站承载人数计算模型。设计多组别灵敏度仿真分析实验,从多角度分析站台承载人数影响因素。结果表明,拥堵传播与正常条件下车站承载人数变化情况具有较大差别,列车发车间隔、乘客进站速率和去向比例对车站人数变化情况影响较大,列车到站间隔影响相对有限。研究结果可以为特定客流特征车站制定客流组织策略提供科学依据。

关 键 词:城市轨道交通  承载人数  影响因素  系统动力学  仿真计算  灵敏度分析  
收稿时间:2021-03-11

Research on the Number of Passengers on the Platform of Rail Transit Station Considering Congestion Propagation
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.
Authors:Wei Chen  Zongping Li  Can Liu  Yanni Ju
Institution:1.School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China2.National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, China3.Comprehensive Transportation Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu 610031, China
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.
Keywords:urban rail transit  number of passengers  influencing factors  system dynamics  simulation calculation  sensitivity analysis  
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