Identification method for passenger inflow control in urban rail transit station based on cloud model

被引：0

作者：

Dou F. ^{[1
,2
,3
]}

Pan X. ^{[2
]}

Qin Y. ^{[1
]}

Zhang X. ^{[3
]}

Jia L. ^{[1
]}

机构：

[1] School of Traffic and Transportation, Beijing Jiaotong University, Beijing

[2] Beijing Mass Transit Railway Operation Co., Ltd., Beijing

[3] Technology Research and Development Center Affiliated with Beijing Mass Transit Railway Operation Co., Ltd., Beijing

来源：

Jia, Limin (jialm@vip.sina.com) | 2016年 / Southeast University卷 / 46期

关键词：

Cloud model; Passenger inflow control; Passenger inflow state; Trigger condition discrimination; Urban rail transit;

D O I：

10.3969/j.issn.1001-0505.2016.06.035

中图分类号：

学科分类号：

摘要：

The station facility category of urban rail transit and the index of passenger aggregation degree were analyzed according to the features of three-level passenger flow control. The passenger inflow state levels of station facilities of urban rail transit were divided. Then, the template cloud model with different passenger inflow state levels and the synthetic index cloud model of the passenger inflow state measured by facilities were developed based on the synthesis theory of the cloud model. The identification method for passenger inflow control was proposed by calculating the similarity degree between the template cloud model and the synthetic index cloud model. Finally, the station, the key observation point of the first order passenger inflow control trigger discrimination, was taken as a case to verify the validity of the proposed method. The results show that the proposed method can accurately identify the current passenger inflow state, thus helping the manager timely take corresponding passenger inflow control measure according to the passenger inflow state. © 2016, Editorial Department of Journal of Southeast University. All right reserved.

引用

页码：1318 / 1322

页数：4

共 7 条

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