| Title | Resilience Analysis of Urban Rail Transit Network Under Large Passenger Flow |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Wang, Ning |
| Conference Name | 2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C) |
| Date Published | dec |
| Keywords | cascading process, complex network, control theory, Human Behavior, human factors, large passenger flow, process control, Propagation losses, pubcrawl, Public transportation, Rails, resilience, Resiliency, Scalability, security, software quality, software reliability |
| Abstract | Public transportation is an important system of urban passenger transport. The purpose of this article is to explore the impact of network resilience when each station of urban rail transit network was attacked by large passenger flow. Based on the capacity load model, we propose a load redistribution mechanism to simulate the passenger flow propagation after being attacked by large passenger flow. Then, taking Xi'an's rail network as an example, we study the resilience variety of the network after a node is attacked by large passenger flow. Through some attack experiments, the feasibility of the model for studying the resilience of the rail transit system is finally verified. |
| Notes | ISSN: 2693-9371 |
| DOI | 10.1109/QRS-C57518.2022.00072 |
| Citation Key | wang_resilience_2022 |
Resilience Analysis of Urban Rail Transit Network Under Large Passenger Flow