Continuity, Uniqueness and Long-Term Behavior of Nash Flows Over Time

Fuente: arXiv
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Autores principales: Olver, Neil, Sering, Leon, Koch, Laura Vargas
Formato: Preprint
Publicado: 2021
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author Olver, Neil
Sering, Leon
Koch, Laura Vargas
author_facet Olver, Neil
Sering, Leon
Koch, Laura Vargas
contents We consider a dynamic model of traffic that has received a lot of attention in the past few years. Users control infinitesimal flow particles aiming to travel from an origin to a destination as quickly as possible. Flow patterns vary over time, and congestion effects are modeled via queues, which form whenever the inflow into a link exceeds its capacity. Despite lots of interest, some very basic questions remain open in this model. We resolve a number of them in the single-commodity setting: - We show uniqueness of journey times in equilibria. - We show continuity of equilibria: small perturbations to the instance or to the traffic situation at some moment cannot lead to wildly different equilibrium evolutions. - We demonstrate that, assuming constant inflow into the network at the source, equilibria always settle down into a "steady state" in which the behavior extends forever in a linear fashion. One of our main conceptual contributions is to show that the answer to the first two questions, on uniqueness and continuity, are intimately connected to the third. To resolve the third question, we substantially extend the approach of Cominetti et al., who show a steady-state result in the regime where the input flow rate is smaller than the network capacity.
format Preprint
id arxiv_https___arxiv_org_abs_2111_06877
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Continuity, Uniqueness and Long-Term Behavior of Nash Flows Over Time
Olver, Neil
Sering, Leon
Koch, Laura Vargas
Computer Science and Game Theory
Optimization and Control
We consider a dynamic model of traffic that has received a lot of attention in the past few years. Users control infinitesimal flow particles aiming to travel from an origin to a destination as quickly as possible. Flow patterns vary over time, and congestion effects are modeled via queues, which form whenever the inflow into a link exceeds its capacity. Despite lots of interest, some very basic questions remain open in this model. We resolve a number of them in the single-commodity setting: - We show uniqueness of journey times in equilibria. - We show continuity of equilibria: small perturbations to the instance or to the traffic situation at some moment cannot lead to wildly different equilibrium evolutions. - We demonstrate that, assuming constant inflow into the network at the source, equilibria always settle down into a "steady state" in which the behavior extends forever in a linear fashion. One of our main conceptual contributions is to show that the answer to the first two questions, on uniqueness and continuity, are intimately connected to the third. To resolve the third question, we substantially extend the approach of Cominetti et al., who show a steady-state result in the regime where the input flow rate is smaller than the network capacity.
title Continuity, Uniqueness and Long-Term Behavior of Nash Flows Over Time
topic Computer Science and Game Theory
Optimization and Control
url https://arxiv.org/abs/2111.06877