activity
20202022
most citedUncertainty Quantification in Hierarchical Vehicular Flow Models

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

math.NA2022

Recent Trends on Nonlinear Filtering for Inverse Problems

Michael Herty, Elisa Iacomini, Giuseppe Visconti

Among the class of nonlinear particle filtering methods, the Ensemble Kalman Filter (EnKF) has gained recent attention for its use in solving inverse problems. We review the origin…

math.NA2022

Filtering methods for coupled inverse problems

Michael Herty, Elisa Iacomini

We are interested in ensemble methods to solve multi-objective optimization problems. An ensemble Kalman method is proposed to solve a formulation of the nonlinear problem using a…

physics.soc-ph2021

Contrarian effect in opinion forming: insights from Greta Thunberg phenomenon

Elisa Iacomini, Pierluigi Vellucci

In recent months the figure of Greta Thunberg and the theme of climate changings quickly became the focus of the debate. This has lead to a polarization effect in opinion forming a…

math.NA20211 cited

Uncertainty Quantification in Hierarchical Vehicular Flow Models

Michael Herty, Elisa Iacomini

We consider kinetic vehicular traffic flow models of BGK type. Considering different spatial and temporal scales, those models allow to derive a hierarchy of traffic models includi…

math.NA2021

Stability analysis of a hyperbolic stochastic Galerkin formulation for the Aw-Rascle-Zhang model with relaxation

Stephan Gerster, Michael Herty, Elisa Iacomini

We investigate the propagation of uncertainties in the Aw-Rascle-Zhang model, which belongs to a class of second order traffic flow models described by a system of nonlinear hyperb…

math.NA2020

Properties of the LWR model with time delay

Simone Göttlich, Elisa Iacomini, Thomas Jung

In this article, we investigate theoretical and numerical properties of the first-order Lighthill-Whitham-Richards (LWR) traffic flow model with time delay. Since standard results…