A method of characterizing the impact of traffic load on metro system from the control centrality

This paper explores the challenges of controlling complex metro systems, which are influenced by uncertain and uncontrollable large passenger flow impacts. Traditionally, flow-limiting measures during peak periods have been based on experience rather than scientific theory. To bridge this gap, we introduce a novel network analysis method inspired by control centrality theory. This approach assesses the impact of traffic loads from single or multiple sources on any node within the metro network. Our method provides a scientific basis for operators to develop policies for managing overloaded traffic, enhancing both safety and efficiency in metro system operations.

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Publication Details

Journal
Journal of Safety Science and Resilience
Published
2025-03-15
DOI
https://doi.org/10.1016/j.jnlssr.2025.01.001
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

A method of characterizing the impact of traffic load on metro system from the control centrality

Nuo Yong, Shunjiang Ni, Shifei Shen
Journal of Safety Science and Resilience
Transportation Planning and Optimization
article

A method of characterizing the impact of traffic load on metro system from the control centrality

Nuo Yong, Shunjiang Ni, Shifei Shen
article en

Abstract

This paper explores the challenges of controlling complex metro systems, which are influenced by uncertain and uncontrollable large passenger flow impacts. Traditionally, flow-limiting measures during peak periods have been based on experience rather than scientific theory. To bridge this gap, we introduce a novel network analysis method inspired by control centrality theory. This approach assesses the impact of traffic loads from single or multiple sources on any node within the metro network. Our method provides a scientific basis for operators to develop policies for managing overloaded traffic, enhancing both safety and efficiency in metro system operations.

Journal of Safety Science and ResilienceVol. 6(3)
Tsinghua University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Sustainable cities and communities
Openalex Percentile: Top 96%
Transportation Planning and Optimization
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