Pareto-optimal coupling conditions for the Aw-Rascle-Zhang traffic flow model at junctions - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue SIAM Journal on Applied Mathematics Année : 2018

Pareto-optimal coupling conditions for the Aw-Rascle-Zhang traffic flow model at junctions

Résumé

This article deals with macroscopic traffic flow models on a road network. More precisely, we consider coupling conditions at junctions for the Aw-Rascle-Zhang second order model consisting of a hyperbolic system of two conservation laws. These coupling conditions conserve both the number of vehicles and the mixing of Lagrangian attributes of traffic through the junction. The proposed Riemann solver is based on assignment coefficients, multi-objective optimization of fluxes and priority parameters. We prove that this Riemann solver is well posed in the case of special junctions, including 1-to-2 diverge and 2-to-1 merge.
Fichier principal
Vignette du fichier
paper-revised.pdf (352.27 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01551100 , version 1 (30-06-2017)
hal-01551100 , version 2 (21-07-2017)
hal-01551100 , version 3 (20-04-2018)

Licence

Identifiants

Citer

Oliver Kolb, Guillaume Costeseque, Paola Goatin, Simone Göttlich. Pareto-optimal coupling conditions for the Aw-Rascle-Zhang traffic flow model at junctions. SIAM Journal on Applied Mathematics, 2018, 78 (4), pp.1981-2002. ⟨hal-01551100v3⟩
952 Consultations
329 Téléchargements

Altmetric

Partager

More