Andreas Schadschneider

TL;DR: This work investigates the jamming behavior of a single lane traffic model based on a cellular automaton approach which is a simple generalization of the well-known Nagel–Schreckenberg model and finds a separation between a free flow phase and jammed vehicles.

TL;DR: This paper develops, train, and test several artificial neural networks for predictions of pedestrian speeds in corridor and bottleneck experiments, and shows that the neural networks can distinguish the two facilities and significantly improve the prediction of pedestrians speeds.

TL;DR: In this paper, the excitation spectrum of a model of N colour fermions with correlated hopping was investigated and the long distance behaviour of some ground state correlation functions were derived from a finite-size analysis of the gapless excitations.

TL;DR: In this article, the authors studied the critical behavior of the SU(N) generalization of the one-dimensional Hubbard model with arbitrary degeneracy N. The critical exponents depend on the system parameters through an N*N dressed charge matrix implying the relevance of the interaction of charge and spin-density waves.

TL;DR: Arita et al. as discussed by the authors analyzed the dynamical properties of a parallel-update totally asymmetric simple exclusion process with varying system length, which can be regarded as a queueing process with excluded-volume effect (exclusive queuing process), using an analytical method and a phenomenological description based on domain-wall dynamics and Monte Carlo simulations.