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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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Pair Correlation Functions in One-Dimensional Correlated-Hopping Models

TL;DR: In this article, the ground-state properties of two correlated-hopping electron models are compared for small-chain systems and it is shown that pairing is preferred in a certain parameter range.
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Magnetic properties of the one-dimensional supersymmetric t-J model

TL;DR: In this article, the ground-state properties of the system in the presence of an external magnetic field were investigated and a representation of the magnetization curves and the susceptibility using the dressed charge matrix and the charge and spin densities were given by a set of coupled integral equations derived from the Bethe ansatz equations in the thermodynamic limit.
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Braess' paradox in the age of traffic information

TL;DR: The Braess paradox still can occur if the drivers make informed decisions based on their own past experiences or use traffic information similar to that provided by modern navigation apps, which indicates that modern traffic information systems are not able to resolve Braess’ paradox.
Journal Article

Universalities in Fundamental Diagrams of Cars, Bicycles, and Pedestrians

TL;DR: The authors compare the fundamental diagram of cars, bicycles, and pedestrians moving in a row in a course with periodic boundaries to offer the possibility of a universal model for heterogeneous traffic systems.
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Braess' paradox in the age of traffic information.

TL;DR: In this paper, the authors show that the paradox still exists if the drivers make informed decisions based on their own past experiences or use traffic information similar to that provided by modern navigation apps.