Technical Papers
May 9, 2020

Optimal Train Skip-Stop Operation at Urban Rail Transit Transfer Stations for Nonrecurrent Extreme Passenger Flow Mitigation

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 7

Abstract

Urban rail transit transfer stations are key facilities for gathering and switching passenger flow. High passenger demand coupled with nonrecurrent events (e.g., train delays) may cause extreme passenger flow and density within the station, resulting in high risks of disastrous consequences (e.g., stampedes). This paper proposes multiline coordinated train skip-stop strategies to prevent extreme passenger flow and densities at transfer stations. A binary programming model is developed and solved by the genetic algorithm (GA) to best plan the multiline skip-stop strategy. Case studies using real passenger demand and train data are performed to verify the model and the algorithm. Results indicate that the application of the proposed skip-stop strategy can significantly reduce the total passenger waiting and delay time at transfer stations, therefore lowering the risk of disastrous consequences.

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Data Availability Statement

Data generated or analyzed during the study are available from the corresponding author by request: (1) passenger demand at Century Avenue Station of the Shanghai Metro in Microsoft Excel; and (2) the source code of the proposed model in Microsoft Visual C#.

Acknowledgments

This work is jointly supported by the National Key Research and Development Plan of China (Grant No. 2017YFC0804900), the Young Teachers Training Funding of Universities in Shanghai (ZZGCD15114), the Scientific Research Foundation for Doctors in Shanghai University of Engineering Science (2016-11), the Shanghai Science and Technology Committee (Grant No. 19030501400), and the National Natural Science Foundation of China (Grant No. 71601110).

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 146Issue 7July 2020

History

Received: Jan 29, 2019
Accepted: Nov 8, 2019
Published online: May 9, 2020
Published in print: Jul 1, 2020
Discussion open until: Oct 9, 2020

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Authors

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Han-chuan Pan, Ph.D.
Assistant Professor, School of Urban Rail Transportation, Shanghai Univ. of Engineering Science, 333 Long Teng Rd., Shanghai 201620, China; Post-Doctoral Researcher, School of Economics and Management, Tongji Univ., Shanghai 20092, China.
Jie Yu, Ph.D. [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin-Milwaukee, P.O. Box 784, Milwaukee, WI 53201-0784 (corresponding author). Email: [email protected]
Zhi-gang Liu, Ph.D.
Professor, School of Urban Rail Transportation, Shanghai Univ. of Engineering Science, 333 Long Teng Rd., Shanghai 201620, China.
Wen-jie Chen, Ph.D.
Assistant Professor, School of Urban Rail Transportation, Shanghai Univ. of Engineering Science, 333 Long Teng Rd., Shanghai 201620, China.

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