Chapter
Jan 13, 2020
Sixth International Conference on Transportation Engineering

Coordinated Passenger Flow Control and Bus Connection Setting during Peak Hour of Urban Rail Transit

Publication: ICTE 2019

ABSTRACT

In order to alleviate urban rail traffic congestion during peak hour and balance the percentage of stranded passengers in different stations, this paper proposed a multi-station passenger flow control model for the rail transit station. The model takes maximum interval transport capacity and shortest passenger delay time as objectives, and takes the passenger flow demand, train capacity, interval passage capacity, and platform capacity as constraints, to solve optimal passenger flow control stations, control time, and control intensity. In order to reduce passenger overflow caused by the passenger control in rail transit station, an evaluation method of the bus connecting is proposed from the perspective of connecting travel time and passenger demand. Taking passenger flow data in the morning rush hour of Nanjing Metro line 1 as an object, the collaborative control of passenger flow in multiple stations and the analysis of bus connecting routes were conducted. The results show that passenger flow control can effectively improve utilization rates of passenger flow in each section, balance passenger retention in each station, and put forward a new idea of multi-mode public transport coordination for the improvement of passenger travel satisfaction.

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ACKNOWLEDGEMENT

This research was supported by National Key Research and Development Program of China(NO.2016YFE0206800).

REFERENCES

Codina, E. A., Marín, F. López. (2013). “A model for setting services on auxiliary bus lines under congestion.” J. Top, 21(1).
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LIU, L, JIANG, L. (2011). “Research on Passenger Flow Control Method of Urban Rail Transit Network” J. Railway Transport And Economy, 2011, 33(5), 51-55.
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ZHAO, P, YAO, X, YU, D. (2014). “Cooperative Passenger Inflow Control of Urban Mass Transit in Peak Hours” J. Journal of Tongji University(Natural Science), 2014, 42(9): 1340-1346.

Information & Authors

Information

Published In

Go to ICTE 2019
ICTE 2019
Pages: 86 - 94
Editors: Xiaobo Liu, Ph.D., Southwest Jiaotong University, Qiyuan Peng, Ph.D., Southwest Jiaotong University, and Kelvin C. P. Wang, Ph.D., Oklahoma State University
ISBN (Online): 978-0-7844-8274-2

History

Published online: Jan 13, 2020

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Authors

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Professor, School of Transportation, Southeast Univ., No. 2 Southeast University Rd., Nanjing 211189, P.R. China (corresponding author). E-mail: [email protected]
Yingshuang Ouyang [email protected]
Master Student, School of Transportation, Southeast Univ., No. 2 Southeast University Rd., Nanjing 211189, P.R. China. E-mail: [email protected]

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