Uncertainty quantification in a macroscopic traffic flow model calibrated on GPS data
Résumé
The objective of this paper is to analyze the inclusion of one or more random parameters into the deterministic Lighthill-Whitham-Richards traffic flow model and use a semi-intrusive approach to quantify uncertainty propagation. To verify the validity of the method, we test it against real data coming from vehicle embedded GPS systems, provided by Autoroutes Trafic.
Origine : Fichiers produits par l'(les) auteur(s)
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