Real-Time Train Rescheduling in High-frequency Metro Systems during Partial Blockages

Fengbo Liu, Yongqiu Zhu, Nikola Bešinović, Rob Goverde, Ruihua Xu

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

With high frequency and unavoidable disruptions, metro systems are nowadays undertaking great emphasis on disruption management. This paper proposes a mixed integer programming model for train rescheduling in high-frequency metro systems during partial blockages. Several train rescheduling strategies are formulated into the model that considers station capacity and rolling stock circulation. The model is applied to a busy line of the Shanghai metro network. The computation time meets the real-time application requirement. The case study presents different influences of various disruption scenarios and emergency train constraints on the optimal solution.
Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Railway Operations Modelling and Analysis
Subtitle of host publicationRail Norrköping 2019
EditorsAnders Peterson, Martin Joborn, Markus Bohlin
Pages1105-1127
Number of pages23
Publication statusPublished - 2019
EventRail Norrköping 2019: The 8th International Conference on Railway Operations Modelling and Analysis - Linköping University, Norrköping, Sweden
Duration: 17 Jun 201920 Jun 2019
https://www.railnorrkoping2019.org/

Conference

ConferenceRail Norrköping 2019: The 8th International Conference on Railway Operations Modelling and Analysis
Abbreviated titleICROMA
CountrySweden
CityNorrköping
Period17/06/1920/06/19
Internet address

Keywords

  • Metro
  • Train rescheduling
  • Mixed integer programming
  • Rolling stock circulation
  • Partial blockages

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