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Main Authors: Chang-Lara, Hector Andres, Zapeta-Tzul, Sergio David
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2503.21039
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author Chang-Lara, Hector Andres
Zapeta-Tzul, Sergio David
author_facet Chang-Lara, Hector Andres
Zapeta-Tzul, Sergio David
contents We revisit the classic problem of determining optimal routes in a graph for transporting two given distributions defined on its nodes, originally studied by Wardrop and Beckmann in the 1950s. The global congestion profile at any given time defines a dynamic metric on the graph, for which the routes must be geodesics. Our first contribution is the introduction of a dynamic version of the Beckmann problem, for which we derive the corresponding discrete partial differential equations governing the evolution of the system. These equations enable us to estimate the size of the support of the edge flow. Finally, we present some numerical simulations to illustrate the behavior of efficient equilibria in a dynamic setting with non-local interactions.
format Preprint
id arxiv_https___arxiv_org_abs_2503_21039
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A dynamic model of congestion
Chang-Lara, Hector Andres
Zapeta-Tzul, Sergio David
Optimization and Control
We revisit the classic problem of determining optimal routes in a graph for transporting two given distributions defined on its nodes, originally studied by Wardrop and Beckmann in the 1950s. The global congestion profile at any given time defines a dynamic metric on the graph, for which the routes must be geodesics. Our first contribution is the introduction of a dynamic version of the Beckmann problem, for which we derive the corresponding discrete partial differential equations governing the evolution of the system. These equations enable us to estimate the size of the support of the edge flow. Finally, we present some numerical simulations to illustrate the behavior of efficient equilibria in a dynamic setting with non-local interactions.
title A dynamic model of congestion
topic Optimization and Control
url https://arxiv.org/abs/2503.21039