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arxiv: 1302.3797 · v1 · pith:7GI5STZHnew · submitted 2013-02-15 · ⚛️ physics.bio-ph · cond-mat.stat-mech

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

classification ⚛️ physics.bio-ph cond-mat.stat-mech
keywords densityjamsparticlestrafficaggregatesalignbandseffects
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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.

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