activity
20202026
most citedStability analysis of a hyperbolic stochastic Galerkin formulation for the Aw-Rascle-Zhang model with relaxation

1 citations · 2 across the 7 of their papers we have counts for

collaborators

8 papers

math.NA2026

Micro-to-macro derivation and stability analysis of an Aw-Rascle-Zhang-type model with driver-dependent acceleration

Stephan Gerster, Giuseppe Visconti

We introduce a new traffic flow model. The main idea is to describe acceleration effects in the Aw-Rascle-Zhang model through an additional driver-dependent equation, thereby allow…

math.OC2025

Relaxation and stability analysis of a third-order multiclass traffic flow model

Stephan Gerster, Giuseppe Visconti

Traffic flow modeling spans a wide range of mathematical approaches, from microscopic descriptions of individual vehicle dynamics to macroscopic models based on aggregate quantitie…

math.OC2022

Numerical boundary control for semilinear hyperbolic systems

Stephan Gerster, Felix Nagel, Aleksey Sikstel +1

This work is devoted to the design of boundary controls of physical systems that are described by semilinear hyperbolic balance laws. A computational framework is presented that yi…

math.NA2022★ 1 cited

Haar-type stochastic Galerkin formulations for hyperbolic systems with Lipschitz continuous flux function

Stephan Gerster, Aleksey Sikstel, Giuseppe Visconti

This work is devoted to the Galerkin projection of highly nonlinear random quantities. The dependency on a random input is described by Haar-type wavelet systems. The classical Haa…

math.PR2021

Description of random level sets by polynomial chaos expansions

Markus Bambach, Stephan Gerster, Michael Herty +1

We present a novel approach to determine the evolution of level sets under uncertainties in the velocity fields. This leads to a stochastic description of the level sets. To comput…

math.NA2021★ 1 cited

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.OC2020

Feedback control for stochastic gas flow

Stephan Gerster

We consider linear hyperbolic balance law that describe gas flow. Stochastic influences are introduced by series of orthogonal functions. A deterministic stabilization concept, whi…

math.OC2020

Feedback control for random, linear hyperbolic balance laws

Stephan Gerster, Markus Bambach, Michael Herty +1

We design the controls of physical systems that are faced by uncertainties. The system dynamics are described by random hyperbolic balance laws. The control aims to steer the syste…