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Integrated optimization of metro and bridging bus operation under metro disruption.

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Title: Integrated optimization of metro and bridging bus operation under metro disruption.
Authors: Liang, Yunyi1 (AUTHOR), Wang, Xiaopeng1 (AUTHOR), Zhu, Jiajun1 (AUTHOR), Tang, Jinjun2 (AUTHOR) jinjuntang@csu.edu.cn
Source: Canadian Journal of Civil Engineering. 12/20/2025, Vol. 53, p1-14. 14p.
Subject Terms: *Mixed integer linear programming, *Optimization algorithms, *Cost control, *Train schedules, *Bus transportation, *Public transit
Geographic Terms: Urumqi (China)
Abstract: Existing studies on integrated optimization of metro and bridging bus operation under metro disruption often overlook the joint optimization of the train timetables and rolling stock circulations (i.e., the selections of turnaround stations, service cancellations, and service connections), as well as the routes and timetables of bridging buses. To address this gap, this study formulates the problem as a mixed-integer linear program. This program aims to minimize the total cost, including the cost of train timetable deviation before and after adjustment, the cost of the number of train service cancellations, the cost of the headway deviations of train services, the cost of the average passenger delay, and the cost of bridging bus operation time. An enhanced Adaptive Large Neighbor Search Algorithm is developed to solve the model. Three customized destroy operators and repair operators are designed to rapidly find high-quality solutions. Experiment results on Metro Line 1 in Urumqi demonstrate that the proposed model achieves 13.83% improvement compared with the model separately optimizes metro and bridging bus operation. [ABSTRACT FROM AUTHOR]
Database: Academic Search Index
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An: 190982152
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PubTypeId: academicJournal
PreciseRelevancyScore: 1490.81311035156
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  Data: Integrated optimization of metro and bridging bus operation under metro disruption.
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  Data: <searchLink fieldCode="AR" term="%22Liang%2C+Yunyi%22">Liang, Yunyi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Xiaopeng%22">Wang, Xiaopeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhu%2C+Jiajun%22">Zhu, Jiajun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tang%2C+Jinjun%22">Tang, Jinjun</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> jinjuntang@csu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Canadian+Journal+of+Civil+Engineering%22">Canadian Journal of Civil Engineering</searchLink>. 12/20/2025, Vol. 53, p1-14. 14p.
– Name: Subject
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  Data: *<searchLink fieldCode="DE" term="%22Mixed+integer+linear+programming%22">Mixed integer linear programming</searchLink><br />*<searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br />*<searchLink fieldCode="DE" term="%22Cost+control%22">Cost control</searchLink><br />*<searchLink fieldCode="DE" term="%22Train+schedules%22">Train schedules</searchLink><br />*<searchLink fieldCode="DE" term="%22Bus+transportation%22">Bus transportation</searchLink><br />*<searchLink fieldCode="DE" term="%22Public+transit%22">Public transit</searchLink>
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  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22Urumqi+%28China%29%22">Urumqi (China)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Existing studies on integrated optimization of metro and bridging bus operation under metro disruption often overlook the joint optimization of the train timetables and rolling stock circulations (i.e., the selections of turnaround stations, service cancellations, and service connections), as well as the routes and timetables of bridging buses. To address this gap, this study formulates the problem as a mixed-integer linear program. This program aims to minimize the total cost, including the cost of train timetable deviation before and after adjustment, the cost of the number of train service cancellations, the cost of the headway deviations of train services, the cost of the average passenger delay, and the cost of bridging bus operation time. An enhanced Adaptive Large Neighbor Search Algorithm is developed to solve the model. Three customized destroy operators and repair operators are designed to rapidly find high-quality solutions. Experiment results on Metro Line 1 in Urumqi demonstrate that the proposed model achieves 13.83% improvement compared with the model separately optimizes metro and bridging bus operation. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1139/cjce-2025-0189
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 1
    Subjects:
      – SubjectFull: Urumqi (China)
        Type: general
      – SubjectFull: Mixed integer linear programming
        Type: general
      – SubjectFull: Optimization algorithms
        Type: general
      – SubjectFull: Cost control
        Type: general
      – SubjectFull: Train schedules
        Type: general
      – SubjectFull: Bus transportation
        Type: general
      – SubjectFull: Public transit
        Type: general
    Titles:
      – TitleFull: Integrated optimization of metro and bridging bus operation under metro disruption.
        Type: main
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            NameFull: Liang, Yunyi
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            NameFull: Wang, Xiaopeng
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            NameFull: Zhu, Jiajun
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            NameFull: Tang, Jinjun
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          Dates:
            – D: 20
              M: 12
              Text: 12/20/2025
              Type: published
              Y: 2025
          Identifiers:
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              Value: 03151468
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              Value: 53
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            – TitleFull: Canadian Journal of Civil Engineering
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