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Recursive traffic percolation on urban transportation systems.
Chen, Zhuoran; Yang, Chao; Qian, Jiang-Hai; Han, Dingding; Ma, Yu-Gang.
Afiliação
  • Chen Z; School of Information Science and Technology, Fudan University, Shanghai 200433, China.
  • Yang C; School of Information Science and Technology, Fudan University, Shanghai 200433, China.
  • Qian JH; College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai 200090, China.
  • Han D; School of Information Science and Technology, Fudan University, Shanghai 200433, China.
  • Ma YG; Shanghai Research Center for Theoretical Nuclear Physics, NSFC and Fudan University, Shanghai 200438, China.
Chaos ; 33(3): 033132, 2023 Mar.
Article em En | MEDLINE | ID: mdl-37003821
This paper proposes a recursive traffic percolation framework to capture the dynamics of cascading failures and analyze potential overloaded bottlenecks. In particular, compared to current work, the influence of external flow is considered, providing a new perspective for the study of regional commuting. Finally, we present an empirical study to verify the accuracy and effectiveness of our framework. Further analysis indicates that external flows from different regions affect the network. Our work requires only primary data and verifies the improvement of the functional network.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article