TY - GEN
T1 - A Cascading Failure Model of Rail Transit Based on Application Cell
AU - Chen, Kun
AU - Huang, Ning
AU - Wu, Xiangwei
N1 - Publisher Copyright:
© ESREL 2021. Published by Research Publishing, Singapore.
PY - 2021
Y1 - 2021
N2 - Rail transit system deliver its application by transporting passengers to their destination. Succeed or not of application’s delivery greatly affects the daily operation of it. Current research based on cascading failure mainly focus on the connectivity of network. Researches based on queuing theory, network calculus and BPR function focus on the performance of network. They all take transport process as homogeneous flow and consider the function-based or performance-based structure of network, ignoring that they essentially are applications with multiattributes (such as application classes, application process and so on), and these attributes have great impact on rail transit, which leads that current researches are unable to reflect the reliability from users’ aspects. In this paper, we focus on the cascading failure process of rail transit, one call request of rail transit from a certain passenger is treated as one application. In order to map the features of application, we describe them as application cells, and multiattributes of transport process corresponds to the characteristics of cells. Then, the deliver process of application can be regarded as the interaction among cells in our model. The results of simulation show that our model can effectively depict the process of cascading failure among cells and can help to simplify the complexity of application process. Besides, we find the law that even holding the same amount of burst traffic flow, different application types have various cascading process and totally different network reliability.
AB - Rail transit system deliver its application by transporting passengers to their destination. Succeed or not of application’s delivery greatly affects the daily operation of it. Current research based on cascading failure mainly focus on the connectivity of network. Researches based on queuing theory, network calculus and BPR function focus on the performance of network. They all take transport process as homogeneous flow and consider the function-based or performance-based structure of network, ignoring that they essentially are applications with multiattributes (such as application classes, application process and so on), and these attributes have great impact on rail transit, which leads that current researches are unable to reflect the reliability from users’ aspects. In this paper, we focus on the cascading failure process of rail transit, one call request of rail transit from a certain passenger is treated as one application. In order to map the features of application, we describe them as application cells, and multiattributes of transport process corresponds to the characteristics of cells. Then, the deliver process of application can be regarded as the interaction among cells in our model. The results of simulation show that our model can effectively depict the process of cascading failure among cells and can help to simplify the complexity of application process. Besides, we find the law that even holding the same amount of burst traffic flow, different application types have various cascading process and totally different network reliability.
KW - Application cell
KW - Congestion
KW - Optimization
KW - Rail transit
KW - Traffic model
UR - https://www.scopus.com/pages/publications/85135453777
U2 - 10.3850/978-981-18-2016-8_332-cd
DO - 10.3850/978-981-18-2016-8_332-cd
M3 - 会议稿件
AN - SCOPUS:85135453777
SN - 9789811820168
T3 - Proceedings of the 31st European Safety and Reliability Conference, ESREL 2021
SP - 2724
EP - 2729
BT - Proceedings of the 31st European Safety and Reliability Conference, ESREL 2021
A2 - Castanier, Bruno
A2 - Cepin, Marko
A2 - Bigaud, David
A2 - Berenguer, Christophe
PB - Research Publishing, Singapore
T2 - 31st European Safety and Reliability Conference, ESREL 2021
Y2 - 19 September 2021 through 23 September 2021
ER -