Research on passenger flow control at metro transfer stations based on real-time flow calculation of streamlines  

作　　者：Bin Lei Zhuoxing Hou Yifei Suo Wei Liu Linlin Luo Dongbo Lei 

机构地区：[1]School of Urban Development and Modern Transportation,Xi’an University of Architecture and Technology,Xi’an,China [2]School of Transportation Engineering,Chang’an University,Xi’an,China [3]Xi’an Metro Operations Weihe Depot,Xi’an Rail Transit Group Co.,Ltd.Operations Branch,Xi’an,China

出　　处：《Railway Sciences》2024年第6期684-703,共20页铁道科学（英文）

摘　　要：Purpose – The volume of passenger traffic at metro transfer stations serves as a pivotal metric for theorchestration of crowd flow management. Given the intricacies of crowd dynamics within these stations andthe recurrent instances of substantial passenger influxes, a methodology predicated on stochastic processesand the principle of user equilibrium is introduced to facilitate real-time traffic flow estimation within transferstation streamlines.Design/methodology/approach – The synthesis of stochastic process theory with streamline analysisengenders a probabilistic model of intra-station pedestrian traffic dynamics. Leveraging real-time passengerflow data procured from monitoring systems within the transfer station, a gradient descent optimizationtechnique is employed to minimize the cost function, thereby deducing the dynamic distribution of categorizedpassenger flows. Subsequently, adhering to the tenets of user equilibrium, the Frank–Wolfe algorithm isimplemented to allocate the intra-station categorized passenger flows across various streamlines, ascertainingthe traffic volume for each.Findings – Utilizing the Xiaozhai Station of the Xi’an Metro as a case study, the Anylogic simulation softwareis engaged to emulate the intra-station crowd dynamics, thereby substantiating the efficacy of the proposedpassenger flow estimation model. The derived solutions are instrumental in formulating a crowd controlstrategy for Xiaozhai Station during the peak interval from 17:30 to 18:00 on a designated day, yielding crowdmanagement interventions that offer insights for the orchestration of passenger flow and operationalgovernance within metro stations.Originality/value – The construction of an estimation methodology for the real-time streamline traffic flowaugments the model’s dataset, supplanting estimated values derived from surveys or historical datasets withreal-time computed traffic data, thereby enhancing the precision and immediacy of crowd flow managementwithin metro stations.

关 键 词：Metro transfer station Passenger flow control Flow streamline Stochastic process User equilibrium 

分 类 号：U293[交通运输工程—交通运输规划与管理]