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Research on Coordinated Passenger Inflow Control for the Urban Rail Transit Network Based on the Station-to-Line Spatial-Temporal Relationship
Author(s) -
Ruixia Yang,
Weiteng Zhou,
Baoming Han,
Dewei Li,
Bin Zheng,
Fangling Wang
Publication year - 2022
Publication title -
journal of advanced transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.577
H-Index - 46
eISSN - 2042-3195
pISSN - 0197-6729
DOI - 10.1155/2022/8895935
Subject(s) - inflow , beijing , urban rail transit , volume (thermodynamics) , transport engineering , control (management) , control volume , flow (mathematics) , level of service , line (geometry) , computer science , engineering , meteorology , physics , geometry , mathematics , quantum mechanics , artificial intelligence , china , mechanics , political science , law
This study proposes a coordinated inflow control organization for the urban rail transit network to improve train capacity utilization and reduce inbound delay rate, considering existing operational requirements and station-to-line spatial-temporal relationship of passenger flow. The coordinated passenger flow control model is proposed with the objective to maximize the inbound flow rate and the train full load rate. A station-to-line spatial-temporal correlation formula is constructed to characterize the relationship between station inbound passenger volume and section passenger volume. A two-stage approach is employed to solve this passenger flow control problem. The proposed model and solution strategy are evaluated on a well-known Beijing network with 10 operating lines. The refined inflow control scheme is displayed with the accurate inbound volume at each station during each time period. The comparison between the proposed control strategy and the current control strategy shows that the former can effectively improve the service level and capacity utilization.

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