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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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Traffic Patterns and Flow Characteristics in an Ant Trail Model

TL;DR: In this paper, a minimal cellular automata model for simulating traffic on preexisting ant trails is presented and the characteristics of the observed traffic patterns and the resulting flow characteristics are treated for simplified biological scenarios.
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Traffic Flow on Ant Trails: Empirical Results vs. Theoretical Predictions

TL;DR: The observed spatio-temporal organization of the ants as well as quantitative results for the fundamental diagram and headway distributions are compared with predictions of a cellular automaton model to present empirical results for traffic flow on ant trails.
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Statistical Physics of Traffic Flow

TL;DR: In this article, the current status of cellular automata models for traffic flow is reviewed with special emphasis on nonequilibrium effects induced by on-and off-ramps, and a review of the state of the art is given.
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Moving Risk of Crowds in the Entrance Confluence Area in the Presence of Channelizing Facilities

TL;DR: In this article , the authors analyzed the moving risk of the crowds before the bottleneck entrance area, in the presence of the channelizing barriers by controllable laboratory experiments, and found that the narrower gaps of channelizing railings, the larger area of high risk zones, and they have clear "lane formation" effect in shaping the risk zones.
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Matrix product approach for the asymmetric random average process

TL;DR: In this article, the authors considered the asymmetric random average process with continuous and unbounded state variables and obtained a matrix algebra in form of a functional equation which can be solved exactly.