A study on optimization of passenger flow density of rail transit platform based on balanced train diagram
With the development of urban rail transit, metro has become the preferred mode of public transportation for citizens. In order to improve passengers' travel experience, realize the matching of transport capacity and transport demands, and reduce the congestion in waiting areas of urban rail tr...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Electric Drive for Locomotives
2023-01-01
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| Series: | 机车电传动 |
| Subjects: | |
| Online Access: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2023.01.103 |
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| Summary: | With the development of urban rail transit, metro has become the preferred mode of public transportation for citizens. In order to improve passengers' travel experience, realize the matching of transport capacity and transport demands, and reduce the congestion in waiting areas of urban rail transit platform, in this paper, the optimization of the passenger flow density on platform was researched based on the balance indexes of running chart. Firstly, based on the basic methods and theories of queuing theory, a computation model which takes the passenger flow density in waiting areas of urban rail transit platform as the research subject has been established, and the relationship between the balance of running chart and the passenger flow density in waiting areas on platform has been analyzed. Then, through the process of creating peak periods, creating transitional periods, connecting task lines, conflict resolution, and balance treatment, the automatic generation of the balanced running chart of urban rail transit has been realized. Finally, combined with passenger flow data of Changsha metro line 4, the effectiveness of the method has been verified by simulation. The simulation results show that the automatically compiled running chart based on this method has a lower maximum passenger flow density in waiting areas on platform in respect of the manually compiled running chart. Therefore, the algorithm has a better practical value. |
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| ISSN: | 1000-128X |