Literature DB >> 25679642

Absence of jamming in ant trails: feedback control of self-propulsion and noise.

Debasish Chaudhuri1, Apoorva Nagar2.   

Abstract

We present a model of ant traffic considering individual ants as self-propelled particles undergoing single-file motion on a one-dimensional trail. Recent experiments on unidirectional ant traffic in well-formed natural trails showed that the collective velocity of ants remains approximately unchanged, leading to the absence of jamming even at very high densities [John et al., Phys. Rev. Lett. 102, 108001 (2009)]. Assuming a feedback control mechanism of self-propulsion force generated by each ant using information about the distance from the ant in front, our model captures all the main features observed in the experiment. The distance headway distribution shows a maximum corresponding to separations within clusters. The position of this maximum remains independent of average number density. We find a non-equilibrium first-order transition, with the formation of an infinite cluster at a threshold density where all the ants in the system suddenly become part of a single cluster.

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Year:  2015        PMID: 25679642     DOI: 10.1103/PhysRevE.91.012706

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  2 in total

1.  Impact of correlated noise in an energy depot model.

Authors:  Chunhua Zeng; Jiakui Zeng; Feng Liu; Hua Wang
Journal:  Sci Rep       Date:  2016-01-20       Impact factor: 4.379

2.  Analysis of Cooperative Perception in Ant Traffic and Its Effects on Transportation System by Using a Congestion-Free Ant-Trail Model.

Authors:  Prafull Kasture; Hidekazu Nishimura
Journal:  Sensors (Basel)       Date:  2021-03-30       Impact factor: 3.576

  2 in total

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