[1] Lu Jia, Ren Gang, Xu Linghui,. Identification method of crowded passenger flowbased on automatic fare collection data of Nanjing Metro [J]. Journal of Southeast University (English Edition), 2019, 35 (2): 236-241. [doi:10.3969/j.issn.1003-7985.2019.02.014]

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Identification method of crowded passenger flowbased on automatic fare collection data of Nanjing Metro()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

35

Issue:

2019 2

Page:

236-241

Research Field:

Traffic and Transportation Engineering

Publishing date:

2019-06-30

Info

Title:

Identification method of crowded passenger flowbased on automatic fare collection data of Nanjing Metro

Author(s):

Lu Jia;  Ren Gang;  Xu Linghui

Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China
Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China
School of Transportation, Southeast University, Nanjing 211189, China

Keywords:

travel characteristic;  identification method;  crowded passenger flow;  automatic fare collection

PACS:

U239.3

DOI:

10.3969/j.issn.1003-7985.2019.02.014

Abstract:

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.

References:

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Memo

Memo:

Biographies: Lu Jia(1990—), male, Ph.D. candidate; Ren Gang(corresponding author), male, doctor, professor, rengang@seu.edu.cn.
Foundation item: The National Key Research and Development Program of China(No.2016YFE0206800).
Citation: Lu Jia, Ren Gang, Xu Linghui.Identification method of crowded passenger flow based on automatic fare collection data of Nanjing Metro[J].Journal of Southeast University(English Edition), 2019, 35(2):236-241.DOI:10.3969/j.issn.1003-7985.2019.02.014.

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