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Communicability geometry captures traffic flows in cities

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  • Meisam Akbarzadeh

    (Isfahan University of Technology)

  • Ernesto Estrada

    (University of Strathclyde)

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’.

Suggested Citation

  • Meisam Akbarzadeh & Ernesto Estrada, 2018. "Communicability geometry captures traffic flows in cities," Nature Human Behaviour, Nature, vol. 2(9), pages 645-652, September.
    • Handle: RePEc:nat:nathum:v:2:y:2018:i:9:d:10.1038_s41562-018-0407-3
    DOI: 10.1038/s41562-018-0407-3
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    Cited by:

    1. Wang, Yinpu & An, Chengchuan & Ou, Jishun & Lu, Zhenbo & Xia, Jingxin, 2022. "A general dynamic sequential learning framework for vehicle trajectory reconstruction using automatic vehicle location or identification data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    2. Cyril Veve & Nicolas Chiabaut, 2020. "Estimation of the shared mobility demand based on the daily regularity of the urban mobility and the similarity of individual trips," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-15, September.
    3. Silver, Grant & Akbarzadeh, Meisam & Estrada, Ernesto, 2018. "Tuned communicability metrics in networks. The case of alternative routes for urban traffic," Chaos, Solitons & Fractals, Elsevier, vol. 116(C), pages 402-413.
    4. Estrada, Ernesto, 2021. "Informational cost and networks navigability," Applied Mathematics and Computation, Elsevier, vol. 397(C).

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