Identification method of crowded passenger flow based on automatic fare collection data of Nanjing Metro; [基于南京地铁AFC数据的大客流识别方法]

被引：1

作者：

Lu J. ^{[1
,2
,3
]}

Ren G. ^{[1
,2
,3
]}

Xu L. ^{[1
,2
,3
]}

机构：

[1] Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing

[2] Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing

[3] School of Transportation, Southeast University, Nanjing

来源：

Journal of Southeast University (English Edition) | 2019年 / 35卷 / 02期

关键词：

Automatic fare collection; Crowded passenger flow; Identification method; Travel characteristic;

D O I：

10.3969/j.issn.1003-7985.2019.02.014

中图分类号：

学科分类号：

摘要：

To relieve traffic congestion in urban rail transit stations, a new identification method of crowded passenger flow based on automatic fare collection data is proposed. First, passenger travel characteristics are analyzed by observing the temporal distribution of inflow passengers each hour and the spatial distribution concerning cross-section passenger flow. Secondly, the identification method of crowded passenger flow is proposed to calculate the threshold via the probability density function fitted by Matlab and classify the early-warning situation based on the threshold obtained. Finally, a case study of Xinjiekou station is conducted to prove the validity and practicability of the proposed method. Compared to the traditional methods, the proposed comprehensive method can remove defects such as efficiency and delay. Furthermore, the proposed method is suitable for other rail transit companies equipped with automatic fare collection systems. © 2019, Editorial Department of Journal of Southeast University. All right reserved.

引用

页码：236 / 241

页数：5