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Main Authors: Bagagiolo, Fabio, Pontiroli, Federico, Romanò, Ivan
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2605.24241
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author Bagagiolo, Fabio
Pontiroli, Federico
Romanò, Ivan
author_facet Bagagiolo, Fabio
Pontiroli, Federico
Romanò, Ivan
contents In January 2023, the obligation for petrol stations to display the average fuel price calculated on a regional basis was introduced by the Italian Government. A mean field game model is here proposed to describe the evolution of the fuel price. In particular, each petrol station decides its own price, for the next day, taking account of an estimate of the average price, to be communicated by the Local Authority. The existence and the evolution of a mean field equilibrium are analytically investigated. Some simulations are compared with real data from the Autonomous Province of Trento, Italy.
format Preprint
id arxiv_https___arxiv_org_abs_2605_24241
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle The petrol station game: the regional average price. A mean field analysis
Bagagiolo, Fabio
Pontiroli, Federico
Romanò, Ivan
Optimization and Control
In January 2023, the obligation for petrol stations to display the average fuel price calculated on a regional basis was introduced by the Italian Government. A mean field game model is here proposed to describe the evolution of the fuel price. In particular, each petrol station decides its own price, for the next day, taking account of an estimate of the average price, to be communicated by the Local Authority. The existence and the evolution of a mean field equilibrium are analytically investigated. Some simulations are compared with real data from the Autonomous Province of Trento, Italy.
title The petrol station game: the regional average price. A mean field analysis
topic Optimization and Control
url https://arxiv.org/abs/2605.24241