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author:

Ye, Mao (Ye, Mao.) [1] | Zhang, Renjie (Zhang, Renjie.) [2] | Lai, Yuanwen (Lai, Yuanwen.) [3] | Easa, Said M. (Easa, Said M..) [4] | Zhan, Yuchao (Zhan, Yuchao.) [5] | Lan, Wenhai (Lan, Wenhai.) [6]

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EI

Abstract:

A traditional hybrid operational mode of a metro system usually combines the express and local trains. The stopping patterns of express trains are generally assumed to be the same. To provide a diverse service, this paper aims to explore the train timetable optimization method when the express trains have different stopping patterns. First, all the trains are categorized into five cases based on the type of train and the order of departure. A passenger-oriented timetabling model for reducing passenger waiting time is established, which can be solved by the Interior Point Method. Numerical examples from Guangzhou Metro Network are conducted with six scenarios, symbolizing different operation strategies. The proposed model was validated through numerical experiments conducted on a Nanjing metro line. The results indicate that the proposed model can efficiently reschedule the timetable in express/local mode with multiple stopping patterns and reduce the passenger waiting time, the most considerable reduction of which comes up to 16.8%, along with a reduction in their extra waiting time of up to 17.3%. © 2025 The Author(s).

Keyword:

Electric railroads Light rail transit Subways Urban transportation

Community:

  • [ 1 ] [Ye, Mao]School of Automation, Nanjing University of Science and Technology, Nanjing; 210094, China
  • [ 2 ] [Ye, Mao]MIIT Key Lab of Traffic Information Fusion and System Control, Nanjing; 210094, China
  • [ 3 ] [Zhang, Renjie]School of Transportation, Southeast University, No.2 Southeast University Road, Nanjing; 211189, China
  • [ 4 ] [Lai, Yuanwen]School of Civil Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 5 ] [Easa, Said M.]Department of Civil Engineering, Toronto Metropolitan University, Toronto; M5B 2K3, Canada
  • [ 6 ] [Zhan, Yuchao]School of Automation, Nanjing University of Science and Technology, Nanjing; 210094, China
  • [ 7 ] [Zhan, Yuchao]MIIT Key Lab of Traffic Information Fusion and System Control, Nanjing; 210094, China
  • [ 8 ] [Lan, Wenhai]Fuzhou Metro Group Co., Ltd, Fuzhou; 350004, China

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Source :

Canadian Journal of Civil Engineering

ISSN: 0315-1468

Year: 2025

Issue: 6

Volume: 52

Page: 1060-1075

1 . 2 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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