A Passenger Flow Control Method for Subway Network Based on Network Controllability
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 pass...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2018/5961090 |
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| _version_ | 1850174022567854080 |
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| author | Lu Zeng Jun Liu Yong Qin Li Wang Jie Yang |
| author_facet | Lu Zeng Jun Liu Yong Qin Li Wang Jie Yang |
| author_sort | Lu Zeng |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-c6dd96e978b5424b8c8656763fcb08d5 |
| institution | OA Journals |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-c6dd96e978b5424b8c8656763fcb08d52025-08-20T02:19:44ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2018-01-01201810.1155/2018/59610905961090A Passenger Flow Control Method for Subway Network Based on Network ControllabilityLu Zeng0Jun Liu1Yong Qin2Li Wang3Jie Yang4College of Applied Science, Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi Province, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaState Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi Province, ChinaThe 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.http://dx.doi.org/10.1155/2018/5961090 |
| spellingShingle | Lu Zeng Jun Liu Yong Qin Li Wang Jie Yang A Passenger Flow Control Method for Subway Network Based on Network Controllability Discrete Dynamics in Nature and Society |
| title | A Passenger Flow Control Method for Subway Network Based on Network Controllability |
| title_full | A Passenger Flow Control Method for Subway Network Based on Network Controllability |
| title_fullStr | A Passenger Flow Control Method for Subway Network Based on Network Controllability |
| title_full_unstemmed | A Passenger Flow Control Method for Subway Network Based on Network Controllability |
| title_short | A Passenger Flow Control Method for Subway Network Based on Network Controllability |
| title_sort | passenger flow control method for subway network based on network controllability |
| url | http://dx.doi.org/10.1155/2018/5961090 |
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