activity
20162026
most citedA Godunov type scheme for a class of LWR traffic flow models with non-local flux

62 citations · 155 across the 41 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

math.NA2020★ 14 cited

Nonlocal approaches for multilane traffic models

Jan Friedrich, Simone Göttlich, Elena Rossi

We present a multilane traffic model based on balance laws, where the nonlocal source term is used to describe the lane changing rate. The modelling framework includes the consider…

math.OC2020

Input-to-state stability of a scalar conservation law with nonlocal velocity

Simone Göttlich, Michael Herty, Gediyon Weldegiyorgis

In this paper, we study input-to-state stability (ISS) of an equilibrium for a scalar conservation law with nonlocal velocity and measurement error arising in a highly re-entrant m…

math.PR2020

Microscopic and Macroscopic Traffic Flow Models including Random Accidents

Simone Göttlich, Thomas Schillinger

We introduce microscopic and macroscopic stochastic traffic models including traffic accidents. The microscopic model is based on a Follow-the-Leader approach whereas the macroscop…

nlin.AO2020

The food seeking behavior of slime mold: a macroscopic approach

Simone Göttlich, Stephen Knapp, Dylan Weber

Starting from a particle model we derive a macroscopic aggregation-diffusion equation for the evolution of slime mold under the assumption of propagation of chaos in the large part…

stat.AP2020

Modelling arterial travel time distribution using copulas

Adam Samara, Felix Rempe, Simone Göttlich

The estimation of travel time distribution (TTD) is critical for reliable route guidance and provides theoretical bases and technical support for advanced traffic management and co…

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…