A
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
More filters
Journal ArticleDOI
Thermodynamic properties and thermal correlation lengths of a Hubbard model with bond-charge interaction
TL;DR: In this article, the authors investigated the thermodynamics of a one-dimensional Hubbard model with bond-charge interaction X using the transfer-matrix renormalization-group method.
Book ChapterDOI
A stochastic optimal velocity model for pedestrian flow
TL;DR: The results show that the stochastic approach gives a good description of the characteristic relation between speed and spacing and its variability and it can reproduce the observed stop-and-go waves, bimodal speed distributions, and nonzero speed or spacing autocorrelations.
Journal ArticleDOI
Comment on `Garden of Eden states in traffic model revisited'
TL;DR: In this article, Huang and Lin suggested a combination of two successfull mean-field theories, the 2-cluster approximation and paradisical mean field, for the Nagel-Schreckenberg cellular automaton model of traffic flow.
Book ChapterDOI
Optimization Potential of a Highway Network: An Empirical Study
TL;DR: The results support previous empirical observations and theoretical studies indicating that the overall travel-time of vehicles in a traffic network can be optimized by means of ramp metering control systems.
Book ChapterDOI
Conflicts and Friction in Pedestrian Dynamics
TL;DR: This work argues that conflicts in particle-hopping models with parallel dynamics when multiple occupation of sites is forbidden represent an important aspect of the real dynamics and should be considered in cellular automata models of pedestrian dynamics.