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

Math Biosci Eng. 2019 Dec 2;17(2):1511-1533. doi: 10.3934/mbe.2020078.

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.

Keywords: macroscopic traffic flow models; real data; stochastic conservation laws; stochastic parameters; uncertainty quantification.