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Uncertainty quantification in a macroscopic traffic flow model calibrated on GPS data
Enrico Bertino1, Régis Duvigneau2, Paola Goatin2
1Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy.
Abstract:
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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