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。
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.
作者
陈伟
李宗平
刘灿
鞠艳妮
Chen Wei;Li Zongping;Liu Can;Ju Yanni(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,China;National United Engineering Laboratory of Integrated and Intelligent Transportation,Southwest Jiaotong University,Chengdu 610031,China;Comprehensive Transportation Key Laboratory of Sichuan Province,Southwest Jiaotong University,Chengdu 610031,China)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2022年第7期1582-1592,共11页
Journal of System Simulation
基金
国家重点研发计划(2017YFB1200702)。
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
urban rail transit
number of passengers
influencing factors
system dynamics
simulation calculation
sensitivity analysis