Passenger Flow Estimation of Urban Rail Transit Section Based on Cluster Analysis

被引：0
|
作者：
Ren, Gang [1 ]
Zhu, Xing [1 ]
Cao, Qi [1 ]
机构：
[1] Southeast Univ, Sch Transportat, Jiangsu Prov Collaborat Innovat Ctr Modern Urban, Jiulonghu Campus, Nanjing 210096, Peoples R China
来源：
CICTP 2020: ADVANCED TRANSPORTATION TECHNOLOGIES AND DEVELOPMENT-ENHANCING CONNECTIONS | 2020年
关键词：
Urban rail transit; Cross-section passenger flow; Cluster analysis; Attraction coefficient;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Recently, the urban rail transit enters the era of network operation and there may be multiple paths between two stations for passengers to choose. This paper takes Nanjing metro as an example, based on the historical data of the AFC system. Based on the historical data of the AFC system, the OD passenger flow of each period is allocated to the effective path set by combining the clustering analysis method and attraction coefficient method. By iterating the passenger flow in each section of the urban rail transit network, the real-time estimation of cross-section passenger flow is realized.
引用
收藏
页码：110 / 121
页数：12
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