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Traffic Games: Modeling Freeway Traffic with Game Theory

We apply game theory to a vehicular traffic model to study the effect of driver strategies on traffic flow. The resulting model inherits the realistic dynamics achieved by a two-lane traffic model and aims to incorporate phenomena caused by driver-driver interactions. To achieve this goal, a game-th...

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Detalles Bibliográficos
Autores principales: Cortés-Berrueco, Luis E., Gershenson, Carlos, Stephens, Christopher R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5113900/
https://www.ncbi.nlm.nih.gov/pubmed/27855176
http://dx.doi.org/10.1371/journal.pone.0165381
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author Cortés-Berrueco, Luis E.
Gershenson, Carlos
Stephens, Christopher R.
author_facet Cortés-Berrueco, Luis E.
Gershenson, Carlos
Stephens, Christopher R.
author_sort Cortés-Berrueco, Luis E.
collection PubMed
description We apply game theory to a vehicular traffic model to study the effect of driver strategies on traffic flow. The resulting model inherits the realistic dynamics achieved by a two-lane traffic model and aims to incorporate phenomena caused by driver-driver interactions. To achieve this goal, a game-theoretic description of driver interaction was developed. This game-theoretic formalization allows one to model different lane-changing behaviors and to keep track of mobility performance. We simulate the evolution of cooperation, traffic flow, and mobility performance for different modeled behaviors. The analysis of these results indicates a mobility optimization process achieved by drivers’ interactions.
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spelling pubmed-51139002016-12-08 Traffic Games: Modeling Freeway Traffic with Game Theory Cortés-Berrueco, Luis E. Gershenson, Carlos Stephens, Christopher R. PLoS One Research Article We apply game theory to a vehicular traffic model to study the effect of driver strategies on traffic flow. The resulting model inherits the realistic dynamics achieved by a two-lane traffic model and aims to incorporate phenomena caused by driver-driver interactions. To achieve this goal, a game-theoretic description of driver interaction was developed. This game-theoretic formalization allows one to model different lane-changing behaviors and to keep track of mobility performance. We simulate the evolution of cooperation, traffic flow, and mobility performance for different modeled behaviors. The analysis of these results indicates a mobility optimization process achieved by drivers’ interactions. Public Library of Science 2016-11-17 /pmc/articles/PMC5113900/ /pubmed/27855176 http://dx.doi.org/10.1371/journal.pone.0165381 Text en © 2016 Cortés-Berrueco et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Cortés-Berrueco, Luis E.
Gershenson, Carlos
Stephens, Christopher R.
Traffic Games: Modeling Freeway Traffic with Game Theory
title Traffic Games: Modeling Freeway Traffic with Game Theory
title_full Traffic Games: Modeling Freeway Traffic with Game Theory
title_fullStr Traffic Games: Modeling Freeway Traffic with Game Theory
title_full_unstemmed Traffic Games: Modeling Freeway Traffic with Game Theory
title_short Traffic Games: Modeling Freeway Traffic with Game Theory
title_sort traffic games: modeling freeway traffic with game theory
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5113900/
https://www.ncbi.nlm.nih.gov/pubmed/27855176
http://dx.doi.org/10.1371/journal.pone.0165381
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