activity
19922024
most citedStatistical Physics of Vehicular Traffic and Some Related Systems

2.3k citations · 13.8k across the 135 of their papers we have counts for

collaborators

139 papers

physics.bio-ph2024

Physics of collective transport and traffic phenomena in biology: progress in 20 years

Debashish Chowdhury, Andreas Schadschneider, Katsuhiro Nishinari

Enormous progress have been made in the last 20 years since the publication of our review \cite{csk05polrev} in this journal on transport and traffic phenomena in biology. In this…

cond-mat.stat-mech2023

Physical models of traffic safety at crossings

Andreas Leich, Ronald Nippold, Andreas Schadschneider +1

Traffic safety at intersections is studied quantitatively using methods from Statistical Mechanics on the basis of simple microscopic traffic flow models. In order to determine a r…

physics.soc-ph2023

Structure of road networks and the shape of the macroscopic fundamental diagram

Erwan Taillanter, Andreas Schadschneider, Marc Barthelemy

The macroscopic fundamental diagram (MFD) is a large scale description of the traffic in a urban area and relates the average car flow to the average car density. This MFD has been…

physics.soc-ph2023

Single-file pedestrian dynamics: a review of agent-following models

Jakob Cordes, Mohcine Chraibi, Antoine Tordeux +1

Single-file dynamics has been studied intensively, both experimentally and theoretically. It shows interesting collective effects, such as stop-and-go waves, which are validation c…

physics.soc-ph2023★ 2 cited

Social distancing and the future of pedestrian dynamics

Mohcine Chraibi, Andreas Schadschneider, Antoine Tordeux

Many countries have introduced social distancing rules during the COVID-19 pandemic in order to reduce spreading of the virus in public spaces. This has inspired research on pedest…

cond-mat.stat-mech2023

Dimensionless Numbers Reveal Distinct Regimes in the Structure and Dynamics of Pedestrian Crowds

Jakob Cordes, Andreas Schadschneider, Alexandre Nicolas

In fluid mechanics, dimensionless numbers like the Reynolds number help classify flows. We argue that such a classification is also relevant for crowd flows by putting forward the…