Pareto-optimal coupling conditions for a second order traffic flow model at junctions - Inria - Institut national de recherche en sciences et technologies du numérique
Pré-Publication, Document De Travail Année : 2017

Pareto-optimal coupling conditions for a second order 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 composition 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.
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Dates et versions

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

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Oliver Kolb, Guillaume Costeseque, Paola Goatin, Simone Göttlich. Pareto-optimal coupling conditions for a second order traffic flow model at junctions. 2017. ⟨hal-01551100v2⟩
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