English

Traffic jams, gliders, and bands in the quest for collective motion

Biological Physics 2013-02-18 v1 Statistical Mechanics

Abstract

We study a simple swarming model on a two-dimensional lattice where the self-propelled particles exhibit a tendency to align ferromagnetically. Volume exclusion effects are present: particles can only hop to a neighboring node if the node is empty. Here we show that such effects lead to a surprisingly rich variety of self-organized spatial patterns. As particles exhibit an increasingly higher tendency to align to neighbors, they first self-segregate into disordered particle aggregates. Aggregates turn into traffic jams. Traffic jams evolve toward gliders, triangular high density regions that migrate in a well-defined direction. Maximum order is achieved by the formation of elongated high density regions - bands - that transverse the entire system. Numerical evidence suggests that below the percolation density the phase transition associated to orientational order is of first-order, while at full occupancy it is of second-order. The model highlights the (pattern formation) importance of a coupling between local density, orientation, and local speed.

Keywords

Cite

@article{arxiv.1302.3797,
  title  = {Traffic jams, gliders, and bands in the quest for collective motion},
  author = {Fernando Peruani and Tobias Klauss and Andreas Deutsch and Anja Voss-Boehme},
  journal= {arXiv preprint arXiv:1302.3797},
  year   = {2013}
}