Chapter
Jan 13, 2020
Sixth International Conference on Transportation Engineering

Effective Solutions to Shorten Train Headway of Urban Railway

Publication: ICTE 2019

ABSTRACT

Accompanied with rapid increasing passenger flows of urban railway nowadays, it puts forward urgent requirement to find solutions to shorten train headway so as to improve operation efficiency. This paper presents train headway scenario analysis, establishes model for train headway calculation, proposes solutions to shorten train headway via optimizing characteristics of rolling stock and signaling system configuration. Case simulation shows train headway can be effectively shortened by these solutions, which can be used for timetable optimizing and is of important reference for operation management.

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ACKNOWLEDGEMENT

This research was supported by the National Key R&D Program of China (2017YFB1200702), National Natural Science Foundation of China (Project No. 61703351), Sichuan Science and Technology Program (Project No. 2018RZ0078, 2019JDR0211), Science and Technology Plan of China Railway Corporation (Project No.:P2018T001), Chengdu Soft Science Research Project (2017-RK00-00028-ZF, 2017-RK00-00378-ZF) and the Fundamental Research Funds for the Central Universities (2682017CX022, 2682017CX018).

REFERENCES

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Chevrier, R. (2010). “An evolutionary multi-objective approach for speed tuning optimization with energy saving in railway management.” 13th International IEEE Conference on Intelligent Transportation System (ITSC)., 279-284.
Corman, F., Pacciarelli, D. (2012). “Bi-objective conflict detection and resolution in railway traffic management.” Transportation Research Part C: Emerging Technologies., 20(1), 80-94.
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Information & Authors

Information

Published In

Go to ICTE 2019
ICTE 2019
Pages: 999 - 1005
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

Affiliations

School of Transportation and Logistics, National Railway Train Diagram Research and Training Center, and National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Southwest Jiaotong Univ., Chengdu 610031, China. E-mail: [email protected]
Shaoquan Ni [email protected]
School of Transportation and Logistics, National Railway Train Diagram Research and Training Center, and National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Southwest Jiaotong Univ., Chengdu 610031, China. E-mail: [email protected]
Miaomiao Lv [email protected]
School of Transportation and Logistics, National Railway Train Diagram Research and Training Center, and National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Southwest Jiaotong Univ., Chengdu 610031, China (corresponding author). E-mail: [email protected]

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