A Mixed Integer Programming Approach for the Resilience-Oriented Train Rescheduling Optimization in Railway Networks

Ren, Xianliang; Tang, Tao; Yin, Jianqin

doi:10.1109/cac53003.2021.9727708

2021 China Automation Congress (CAC) 2021

DOI: 10.1109/cac53003.2021.9727708

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A Mixed Integer Programming Approach for the Resilience-Oriented Train Rescheduling Optimization in Railway Networks

Xianliang Ren

Tao Tang

Jianqin Yin

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2023

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“…Thus, a protection resource allocation strategy enhances resilience by optimally allocating protection resources to protect critical stations/links from disruption. Commonly used postdisruption strategies include train rescheduling (18,19), repair sequence optimization (14,(20)(21)(22), and optimized cooperation with bus transit systems (23,24). Train rescheduling enhances resilience by organizing train operations under disruption optimally to evacuate stranded passengers efficiently.…”

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Resilience Enhancement of an Urban Rail Transit Network by Setting Turn-Back Tracks: A Scenario Model Approach

Chen,

Jiang,

Liu

et al. 2023

Transportation Research Record: Journal of the Transportation R

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The resilience of an urban rail transit (URT) network when faced with disruptions is affected by the locations of stations equipped with turn-back (TB) tracks. However, limited studies have enhanced the resilience of a URT network by setting new TB tracks. The present work addresses this gap by proposing and solving a scenario model for improving the operation of a URT network under normal conditions and disruptions by considering uncertain disruptions. A solution algorithm combined with the non-dominated sorting genetic algorithm-II is proposed to solve the model. Numerical experiments conducted on the Chengdu subway system indicate that the resilience of a URT network is significantly affected by TB operations provided at stations equipped with TB tracks. Compared with a network without new TB tracks, the matching degree between passenger flow spatial distribution and TB convenience, and the network’s overall resilience metric (NORM) are improved by 12.05% and 0.58%, respectively, when five new TB tracks are installed. The solution effectiveness of the model is related to the number of new TB tracks, and the NORM decreases by an average of [Formula: see text] after adding new TB tracks to a station.

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confidence: 99%

Resilience Enhancement of an Urban Rail Transit Network by Setting Turn-Back Tracks: A Scenario Model Approach

Chen,

Jiang,

Liu

et al. 2023

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

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A Mixed Integer Programming Approach for the Resilience-Oriented Train Rescheduling Optimization in Railway Networks

Cited by 1 publication

References 8 publications

Resilience Enhancement of an Urban Rail Transit Network by Setting Turn-Back Tracks: A Scenario Model Approach

Resilience Enhancement of an Urban Rail Transit Network by Setting Turn-Back Tracks: A Scenario Model Approach

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