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A mean field approach to model flows of agents with path preferences over a network

Fabio Bagagiolo
•
Rosario Maggistro
•
Raffaele Pesenti
2019
  • conference object

Abstract
In this paper, we address the problem of modeling the traffic flow of a heritage city whose streets are represented by a network. We consider a mean field approach where the standard forward backward system of equations is also intertwined with a path preferences dynamics. The path preferences are influenced by the congestion status on the whole network as well as the possible hassle of being forced to run during the tour. We prove the existence of a mean field equilibrium as a fixed point, over a suitable set of time-varying distributions, of a map obtained as a limit of a sequence of approximating functions. Then, a bi-level optimization problem is formulated for an external controller who aims to induce a specific mean field equilibrium.
DOI
10.1109/CDC40024.2019.9029794
WOS
WOS:000560779001036
Archivio
http://hdl.handle.net/11368/2978586
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85082497160
https://ieeexplore.ieee.org/document/9029794
Diritti
closed access
license:copyright editore
FVG url
https://arts.units.it/request-item?handle=11368/2978586
Soggetti
  • Tourist flow optimal ...

  • mean field game

  • path preference dynam...

  • dynamical flow networ...

Scopus© citazioni
1
Data di acquisizione
Jun 7, 2022
Vedi dettagli
google-scholar
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