Fault Spread and Recovery Strategy of Urban Rail Transit System Based on Complex Network

Abstract

Urban rail transit plays a pivotal role in the overall urban transportation system, serving as a preferred mode of travel for a growing number of people in recent years. However, the occurrence of station failures due to emergencies is an inevitable challenge that can significantly impact the entire transit system. This has led to an increased demand for improved operational resilience and recovery mechanisms within urban rail transit systems. Addressing how to effectively suppress fault spread and swiftly recover the system post-failure has become a pressing issue.In this research, we utilized metro network data obtained from Gaode map and employed complex network theory to establish a network topology model. The study focused on investigating the fault spread dynamics within the metro network, both in scenarios without recovery and with recovery measures in place. The goal was to understand the underlying patterns and laws governing fault propagation in urban rail transit systems. By analyzing the data and modeling recovery strategies, we aimed to contribute insights into mitigating the impact of failures and enhancing the overall reliability of urban rail transit systems.The research concludes with a simulation of four distinct recovery strategies, providing a comparative analysis of their effectiveness. These findings are crucial for urban planners, transit authorities, and policymakers in developing strategies to minimize the impact of emergencies on urban rail transit, ensuring a resilient and efficient transportation system for the growing urban population.