Data-driven propagation and recovery of supply-demand imbalance in a metro system

IF 5.4 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Control Engineering Practice Pub Date : 2025-03-31 DOI:10.1016/j.conengprac.2025.106339

Yue Gao , Xiaowei Cheng , Yiyang Chen , Junwei Wang

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引用次数: 0

Abstract

The unforeseen imbalance between train supply and passenger demand in the metro system usually propagates along the running direction, which increases passengers’ travel costs and even seriously affects the metro system's safety and reliability. Data-driven propagation and recovery of supply-demand imbalance is thus important for a metro system. This paper proposes a two-layer imbalance propagation and recovery model for metro systems based on historical traffic data, where the affected time scope, the affected space scope, and the spatial-temporal extra waiting cost are outputted to describe the propagation and recovery mechanism. The lower-layer model calculates the passengers’ latest arrival time matrix for boarding each train. This matrix is an essential input parameter of the upper-layer imbalance propagation model, where the real-time extra waiting cost for each platform under disruptions is estimated. The proposed model is applied to a real-world metro line of Shenzhen metro to analyze its spatial-temporal propagation and recovery characteristics facing imbalance, which is of notable significance to the possible performance optimization and safety assessment for the metro system.

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来源期刊

Control Engineering Practice 工程技术-工程：电子与电气

CiteScore

9.20

自引率

12.20%

发文量

183

审稿时长

44 days

期刊介绍： Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper. The scope of Control Engineering Practice matches the activities of IFAC. Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.