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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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Book ChapterDOI
Mechanical Restriction Versus Human Overreaction: Accident Avoidance and Two-Lane Traffic Simulations
TL;DR: In order to allow an extension of the model to two-lane traffic a modification of the original single-lane model is presented that ensures the absence of any collisions in the model dynamics.
Journal ArticleDOI
Braess paradox in a network of totally asymmetric exclusion processes.
TL;DR: A phase diagram is presented that predicts the system's state depending on the global density and crucial path-length ratios, and it is observed that for low densities, the added edge leads to lower travel times, while for slightly higher densities the Braess paradox occurs in its classical sense.
Journal ArticleDOI
Exact scaling solution of the mode coupling equations for non-linear fluctuating hydrodynamics in one dimension
TL;DR: In this article, the exact solution of the one-loop mode-coupling equations for the dynamical structure function in the framework of non-linear fluctuating hydrodynamics in one space dimension for the strictly hyperbolic case where all characteristic velocities are different was obtained.
Journal ArticleDOI
The Kasteleyn model and a cellular automaton approach to traffic flow
TL;DR: In this paper, the authors propose a bridge between the theory of exactly solvable models and the investigation of traffic flow by choosing the activities in an appropriate way, the dimer configurations of the Kasteleyn model on a hexagonal lattice can be interpreted as spacetime trajectories of cars.
Book ChapterDOI
Empirical Study of the Influence of Social Groups in Evacuation Scenarios
TL;DR: In order to test the model predictions, laboratory experiments of evacuations with different types and sizes of the social groups are performed, and one surprising observation is a decrease of the evacuation time with increasing group size.