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author:

Lai, Yuanwen (Lai, Yuanwen.) [1] | Liang, Jianhong (Liang, Jianhong.) [2] | Rao, Yinsheng (Rao, Yinsheng.) [3] | Fan, Yanhui (Fan, Yanhui.) [4] | Zhan, Renyan (Zhan, Renyan.) [5] | Easa, Said (Easa, Said.) [6] | Wang, Shuyi (Wang, Shuyi.) [7]

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EI

Abstract:

Under the sudden interruption of the metro, it is significant to dispatch emergency bridging buses to evacuate stranded passengers to improve linkage management and service reliability. Aiming at the problem of emergency bridging bus scheduling, considering the remaining capacity of conventional buses, passenger tolerance, and site convenience, a flexible combined emergency bridging bus scheduling model is constructed based on the constraints of vehicle capacity, dispatching capacity, and maximum evacuation times of emergency bridging bus, aiming at minimizing the maximum evacuation time and passenger delay. The improved Harris hawk algorithm is used to solve the model, and the evacuation plan of the demand-responsive and station-station bridging lines is obtained. The maximum evacuation time is 41 min, and the average delay of stranded passengers is 19 min. The results show that the maximum evacuation time is 10% and 27% less than the fixed combined and single scheduling. The average delay is 16% and 42% less than the fixed combination and traditional single scheduling. The sensitivity analysis of the influencing factors of emergency bridging bus scheduling is conducted. The results show that the flexible combined emergency bridging bus scheduling model constructed in this paper can improve evacuation efficiency and reduce passenger travel delays. © 2024 The Authors. IET Intelligent Transport Systems published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.

Keyword:

Buses Bus transportation Emergency services Intelligent systems Railroads Railroad transportation Sensitivity analysis

Community:

  • [ 1 ] [Lai, Yuanwen]School of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 2 ] [Liang, Jianhong]School of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 3 ] [Rao, Yinsheng]School of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 4 ] [Fan, Yanhui]School of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 5 ] [Zhan, Renyan]School of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 6 ] [Easa, Said]School of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 7 ] [Easa, Said]Department of Civil Engineering, Toronto Metropolitan University, Toronto, Canada
  • [ 8 ] [Wang, Shuyi]School of Civil Engineering, Fuzhou University, Fuzhou, China

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Source :

IET Intelligent Transport Systems

ISSN: 1751-956X

Year: 2024

Issue: 7

Volume: 18

Page: 1306-1323

2 . 3 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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