Literature DB >> 31346275

Communicability geometry captures traffic flows in cities.

Meisam Akbarzadeh1, Ernesto Estrada2.   

Abstract

Understanding the structural and dynamical drivers of network flow is an important goal for our complete understanding of complex systems. Particularly challenging is the determination of the routes used by items when flowing through a network. The study of vehicular traffic flow in cities offers a unique opportunity to test theoretical models about network flows and traffic routes using experimental data. Here, we found observational evidence that there is higher vehicular traffic flow through the communicability shortest paths, which assume an 'all-routes' flow, than through the shortest paths in four cities of different sizes, populations and geographical locations. The communicability function is derived here from a coarse-grained theory of traffic on networks accounting for an auxiliary vehicular propagation speed. Finally, we study the vehicular 'all-routes' flow in cities as the perceptual problem of drivers seeing the shortest paths as 'too central to be empty'.

Mesh:

Year:  2018        PMID: 31346275     DOI: 10.1038/s41562-018-0407-3

Source DB:  PubMed          Journal:  Nat Hum Behav        ISSN: 2397-3374


  3 in total

1.  Estimation of the shared mobility demand based on the daily regularity of the urban mobility and the similarity of individual trips.

Authors:  Cyril Veve; Nicolas Chiabaut
Journal:  PLoS One       Date:  2020-09-17       Impact factor: 3.240

2.  Percolation in networks with local homeostatic plasticity.

Authors:  Giacomo Rapisardi; Ivan Kryven; Alex Arenas
Journal:  Nat Commun       Date:  2022-01-10       Impact factor: 14.919

3.  Communicability distance reveals hidden patterns of Alzheimer's disease.

Authors:  Eufemia Lella; Ernesto Estrada
Journal:  Netw Neurosci       Date:  2020-11-01
  3 in total

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