; ;
2021
Online
DOI: 10.48550/ARXIV.2102.09359
Einrichtungen
Inhaltliche Beschreibung (Schlagwörter)
Aw-Rascle-Zhang model (frei) ; Chapman-Enskog expansion (frei) ; stability analysis (frei) ; stochastic Galerkin (frei) ; traffic flow (frei) ; uncertainty quantification (frei)
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Fulltext by arXiv.org
Dokumenttyp
Preprint
Format
online
Sprache
English
Externe Identnummern
arXiv: arXiv:2102.09359
Interne Identnummern
RWTH-2021-05297
Datensatz-ID: 819798
Beteiligte Länder
Germany
Journal Article/Contribution to a book
Stability analysis of a hyperbolic stochastic Galerkin formulation for the Aw-Rascle-Zhang model with relaxation
Mathematical biosciences and engineering : MBE 18(4), 4372-4389 (2021) [10.3934/mbe.2021220] special issue: "Special Issue: Collective models, control and uncertainty quantification in socio-epidemic dynamics / Guest Editors: Prof. Lorenzo Pareschi, Prof. Giuseppe Toscani, Prof. Andrea Tosin"
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