@article{ref1,
title="Uncertainty quantification in a macroscopic traffic flow model calibrated on GPS data",
journal="Mathematical biosciences and engineering",
year="2019",
author="Bertino, Enrico and Duvigneau, Regis and Goatin, Paola",
volume="17",
number="2",
pages="1511-1533",
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.<p /> <p>Language: en</p>",
language="en",
issn="1547-1063",
doi="10.3934/mbe.2020078",
url="http://dx.doi.org/10.3934/mbe.2020078"
}