摘要
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.
基金
support for this paper by the National Key R&D Program of China(Grant No.2021YFC2600504)
the National Natural Science Foundation of China(Grant No.72174104).
