首页期刊在线 2023年（第26卷）第3期

基于列车满载率的城市轨道交通进站客流量控制

孙方孙琦高彦宇

Inbound Passenger Flow Volume Control of Urban Rail Transit Station Based on Train Load Factor

SUN FangSUN QiGAO Yanyu

作者信息:

北京轨道交通线网管理有限公司， 100101，北京
Affiliation:

Beijing Subway Network Administration Co., Ltd., 100101, Beijing, China
关键词:

城市轨道交通;列车满载率;进站客流量;客流控制模型
Key words:

urban rail transit;train load factor;inbound passenger flow volume;passenger flow control model
DOI:

10.16037/j.1007-869x.2023.03.009
中图分类号/CLCN:

U293.13
栏目/Col:

研究报告

摘要:

基于新冠肺炎疫情的防控要求，2020年初北京轨道交通将列车满载率作为客流控制指标，严格控制城市轨道交通的进站客流量。为此，亟需量化各车站的进站客流控制阈值，用以作为现场客流管控的依据。提出了基于列车满载率的进站客流控制模型及相关客流控制方案。首先根据线网的客流特征对控流日客流的OD(起讫点)信息进行预测，再结合列车运行图精确推演出乘客进站—上车—换乘—下车的全过程出行链信息，计算得到乘客出行所乘坐的各计划运行车次的列车满载率数据；然后结合列车满载率控制指标进行逆向推演及反算，得到该计划列次在各站上车的客流控制阈值，再根据车站客流分布特征计算得到各站10 min粒度的进站客流控制阈值；最后，举例说明了该客流控制模型在北京轨道交通线网进站客流控制管理中的科学性及有效性。

Abstracts:

To comply with the COVID-19 pandemic prevention and control requirements, Beijing rail transit adopted the train load factor as passenger flow control index to strictly man-age the urban rail transit inbound passenger flow volume at the beginning of 2020. In this case, the threshold for controlling inbound passenger flow at each station requires quantification urgently as the basis for on-site management. An inbound passenger flow control model and relevant passenger flow control schemes based on train load factor are proposed. First, accor-ding to the passenger flow characteristics of line network, the OD (origin-destination) information of passenger flow on flow control day is predicted, the information of full passenger tra-vel chain of entering-boarding-interchange-disembarking is accurately deduced from train diagram, and the load factor data of each train on diagram for passenger traveling is calculated. Then, the boarding passenger flow thresholds of each train at each passing station are obtained by reverse deduction and calculation with the load factor control index. The inbound passenger flow control threshold of each station at 10-min granularity level is calculated according to station passenger flow distribution characteristics. Finally, the scientificity and effectiveness of applying passenger flow control model to Beijing rail transit line network stations is expounded with examples.