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Andreas Schadschneider

Researcher at University of Cologne

Publications -  367
Citations -  22171

Andreas Schadschneider is an academic researcher from University of Cologne. The author has contributed to research in topics: Cellular automaton & Traffic flow. The author has an hindex of 66, co-authored 358 publications receiving 20856 citations. Previous affiliations of Andreas Schadschneider include Stony Brook University & Indian Institute of Technology Kanpur.

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Exact stationary state of a staggered stochastic hopping model

TL;DR: In this paper, the authors determined the stationary states of a staggered stochastic hopping model with reflective boundaries and showed that these stationary states are in fact the optimum ground states of the model.
Book ChapterDOI

Stationary State Properties of a Microscopic Traffic Flow Model Mixing Stochastic Transport and Car-Following

TL;DR: In this article, the stationary properties of a microscopic traffic flow model related to a continuous time mass transport process are analyzed for vanishing reaction time and a relation between the parameters and the propagation of kinematic stop-and-go waves is identified as identical to the well known stability condition of the car-following model.
Journal ArticleDOI

Quantum Corner-Transfer Matrix DMRG

TL;DR: In this article, the authors proposed a new method for the calculation of thermodynamic properties of one-dimensional quantum systems by combining the TMRG approach with the corner transfer-matrix method.
Book ChapterDOI

Phase Diagrams of an Internet Model with Multi-Allocation of Sites

TL;DR: The yielding phase diagram derived by numerical simulations reveals some interesting new features like a capacity shift in dependence to the allocation number in the recently introduced cellular automaton model for Internet traffic.
Journal ArticleDOI

From aggressive driving to molecular motor traffic

TL;DR: A cellular automata model for intra-cellular traffic of dynein motors incorporating special features of the hindrance-dependent step size of the individual motors is developed by investigating the properties of the aggressive driving model (ADM).