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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.
Papers
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Metastable states in cellular automata for traffic flow
TL;DR: It is shown that this model exhibits metastable states, thus sheding some light on the prerequisites for the occurance of hysteresis effects in the flow-density relation, and proposes a simple generalization of the NaSch model by introducing a velocity-dependent randomization.
Journal ArticleDOI
Friction effects and clogging in a cellular automaton model for pedestrian dynamics.
TL;DR: A recently introduced cellular automaton model for pedestrian dynamics is extended by a friction parameter mu, which controls the probability that the movement of all particles involved in a conflict is denied at one time step.
Journal ArticleDOI
Discrete stochastic models for traffic flow
Michael Schreckenberg,Michael Schreckenberg,Andreas Schadschneider,Andreas Schadschneider,Kai Nagel,Kai Nagel,Nobuyasu Ito,Nobuyasu Ito +7 more
TL;DR: This model describes single-lane traffic flow on a ring and generalizes the asymmetric exclusion process models and calculates the so-called fundamental diagrams (flow vs. density) for parallel dynamics by means of an improved mean-field approximation.
Journal ArticleDOI
Optimizing traffic lights in a cellular automaton model for city traffic.
TL;DR: The impact of global traffic light control strategies in a recently proposed cellular automaton model for vehicular traffic in city networks, which combines basic ideas of the Biham-Middleton-Levine model for city traffic and the Nagel-Schreckenberg model for highway traffic, is studied.
Book
Stochastic Transport in Complex Systems: From Molecules to Vehicles
TL;DR: This paper presents a meta-modelling framework for Stochastic Models of Nonequilibrium Systems and Transport Phenomena and some of the models developed so far have shown promise in this regard have been described.