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A Passenger Flow Control Method for Subway Network Based on Network Controllability
Joint Authors
Qin, Yong
Zeng, Lu
Yang, Jie
Liu, Jun
Wang, Li
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-04
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The volume of passenger flow in urban rail transit network operation continues to increase.
Effective measures of passenger flow control can greatly alleviate the pressure of transportation and ensure the safe operation of urban rail transit systems.
The controllability of an urban rail transit passenger flow network determines the equilibrium state of passenger flow density in time and space.
First, a passenger flow network model of urban rail transit and an evaluation index of the alternative set of flow control stations are proposed.
Then, the controllable determination model of the urban rail transit passenger flow network is formed by converting the passenger flow distribution into a system state equation based on system control theory.
The optimization method of passenger flow control stations is established via driver node matching to realize the optimized control of network stations.
Finally, a real-world case study of the Beijing subway network is presented to demonstrate that the passenger flow network is controllable when driver nodes compose 25.3% of the entire network.
The optimization of the flow control station, set during the morning peak, proves the efficiency and validity of the proposed model and algorithm.
American Psychological Association (APA)
Zeng, Lu& Liu, Jun& Qin, Yong& Wang, Li& Yang, Jie. 2018. A Passenger Flow Control Method for Subway Network Based on Network Controllability. Discrete Dynamics in Nature and Society،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1152725
Modern Language Association (MLA)
Zeng, Lu…[et al.]. A Passenger Flow Control Method for Subway Network Based on Network Controllability. Discrete Dynamics in Nature and Society No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1152725
American Medical Association (AMA)
Zeng, Lu& Liu, Jun& Qin, Yong& Wang, Li& Yang, Jie. A Passenger Flow Control Method for Subway Network Based on Network Controllability. Discrete Dynamics in Nature and Society. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1152725
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1152725