A macroscopic traffic flow model accounting for bounded acceleration - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue SIAM Journal on Applied Mathematics Année : 2020

A macroscopic traffic flow model accounting for bounded acceleration

Résumé

This paper details a new macroscopic traffic flow model accounting for the boundedness of traffic acceleration, which is required for physical realism. Our approach relies on the coupling between a scalar conservation law, which refers to the seminal LWR model, and a system of Ordinary Differential Equations describing the trajectory of accelerating vehicles, which we treat as moving constraints. We propose a Wave Front Tracking Algorithm to construct approximate solutions. We use this algorithm to prove the existence of solutions to the associated Cauchy Problem, and provide some numerical examples illustrating the solution behaviour.
Fichier principal
Vignette du fichier
Laurent-Brouty_Costeseque_Goatin-2020.pdf (738.75 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-02155131 , version 1 (13-06-2019)
hal-02155131 , version 2 (18-12-2019)
hal-02155131 , version 3 (22-02-2020)
hal-02155131 , version 4 (26-11-2020)

Identifiants

Citer

Nicolas Laurent-Brouty, Guillaume Costeseque, Paola Goatin. A macroscopic traffic flow model accounting for bounded acceleration. SIAM Journal on Applied Mathematics, In press, ⟨10.1137/19M1268173⟩. ⟨hal-02155131v4⟩
514 Consultations
468 Téléchargements

Altmetric

Partager

More