Two-dimensional macroscopic model for large scale traffic networks - Archive ouverte HAL
Article Dans Une Revue Transportation Research Part B: Methodological Année : 2019

Two-dimensional macroscopic model for large scale traffic networks

Résumé

In this article we introduce a new traffic flow model for a dense urban area. We consider a two-dimensional conservation law in which the velocity magnitude is given by the fundamental diagram and the velocity direction is constructed following the network geometry. We validate the model using synthetic data from Aimsun and propose a reconstruction technique to recover the 2D density from the data of individual vehicles. A comparison between the model and the data is shown.
Fichier principal
Vignette du fichier
Preprint_MollierDelleMonacheCarnudasSeibold.pdf (5.02 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01819013 , version 1 (19-06-2018)

Identifiants

Citer

Stéphane Mollier, Maria Laura Delle Monache, Carlos Canudas de Wit, Benjamin Seibold. Two-dimensional macroscopic model for large scale traffic networks. Transportation Research Part B: Methodological, 2019, 122 (April), pp.309-326. ⟨10.1016/j.trb.2019.02.016⟩. ⟨hal-01819013⟩
1115 Consultations
748 Téléchargements

Altmetric

Partager

More