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Uncertainty quantification in a macroscopic traffic flow model calibrated on GPS data

Enrico Bertino Régis Duvigneau Paola Goatin

*Corresponding author: Paola Goatin paola.goatin@inria.fr

MBE2020,2,1511doi:10.3934/mbe.2020078

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.

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