activity
20082026
most citedComparative model accuracy of a data-fitted generalized Aw-Rascle-Zhang model

120 citations · 243 across the 55 of their papers we have counts for

collaborators

74 papers

math.OC2026

Optimal nodal control and the exponential turnpike property for the flow in gas networks

Martin Gugat, Michael Herty, Michael Schuster +1

We study an optimal boundary control problem for a quasilinear hyperbolic system describing isothermal gas flow in pipelines. The control acts at network nodes and models the actio…

math.NA2023

Numerical schemes for coupled systems of nonconservative hyperbolic equations

Niklas Kolbe, Michael Herty, Siegfried Müller

A new linear relaxation system for nonconservative hyperbolic systems is introduced, in which a nonlocal source term accounts for the nonconservative product of the original system…

math.OC2023★ 1 cited

Speed limits in traffic emission models using multi-objective optimization

Simone Göttlich, Michael Herty, Alena Ulke

Climate change compels a reduction of greenhouse gas emissions, yet vehicular traffic still contributes significantly to the emission of air pollutants. Hence, in this paper we foc…

cs.CE2023

A data-driven microscopic on-ramp model based on macroscopic network flows

Niklas Kolbe, Moritz Berghaus, Eszter Kalló +2

While macroscopic traffic flow models consider traffic as a fluid, microscopic traffic flow models describe the dynamics of individual vehicles. Capturing macroscopic traffic pheno…

math.NA2023

A central scheme for coupled hyperbolic systems

Michael Herty, Niklas Kolbe, Siegfried Müller

A novel numerical scheme to solve coupled systems of conservation laws is introduced. The scheme is derived based on a relaxation approach and does not require information on the L…

stat.ML2023★ 1 cited

Reproducing kernel Hilbert spaces in the mean field limit

Christian Fiedler, Michael Herty, Michael Rom +2

Kernel methods, being supported by a well-developed theory and coming with efficient algorithms, are among the most popular and successful machine learning techniques. From a mathe…