Cargando…
Spatiotemporal dynamics of traffic bottlenecks yields an early signal of heavy congestions
Heavy traffic jams are difficult to predict due to the complexity of traffic dynamics. Understanding the network dynamics of traffic bottlenecks can help avoid critical large traffic jams and improve overall traffic conditions. Here, we develop a method to forecast heavy congestions based on their e...
Autores principales: | Duan, Jinxiao, Zeng, Guanwen, Serok, Nimrod, Li, Daqing, Lieberthal, Efrat Blumenfeld, Huang, Hai-Jun, Havlin, Shlomo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10695996/ https://www.ncbi.nlm.nih.gov/pubmed/38049413 http://dx.doi.org/10.1038/s41467-023-43591-7 |
Ejemplares similares
-
Identification, cost evaluation, and prioritization of urban traffic congestions and their origin
por: Serok, Nimrod, et al.
Publicado: (2022) -
A Simulation Model for Intra-Urban Movements
por: Serok, Nimrod, et al.
Publicado: (2015) -
Scale-free resilience of real traffic jams
por: Zhang, Limiao, et al.
Publicado: (2019) -
Switch between critical percolation modes in city traffic dynamics
por: Zeng, Guanwen, et al.
Publicado: (2019) -
Spatial correlation analysis of cascading failures: Congestions and Blackouts
por: Daqing, Li, et al.
Publicado: (2014)