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Cited by 383

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Self-organized lane formation and optimized traffic flow in army ants

Open access
Couzin, I. D., Franks, N. R.·2003·Proceedings of the Royal Society of London. Series B: Biological Sciences

Abstract

We show how the movement rules of individual ants on trails can lead to a collective choice of direction and the formation of distinct traffic lanes that minimize congestion. We develop and evaluate the results of a new model with a quantitative study of the behaviour of the army ant Eciton burchelli. Colonies of this species have up to 200 000 foragers and transport more than 3000 prey items per hour over raiding columns that exceed 100 m. It is an ideal species in which to test the predictions of our model because it forms pheromone trails that are densely populated with very swift ants. The model explores the influences of turning rates and local perception on traffic flow. The behaviour of real army ants is such that they occupy the specific region of parameter space in which lanes form and traffic flow is maximized.

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Registry

Crossref · 10.1098/rspb.2002.2210

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Metadata

Authors
Couzin, I. D., & Franks, N. R.
Venue
Proceedings of the Royal Society of London. Series B: Biological Sciences
Published
2003-01-22
Volume
270
Issue
1511
Pages
139-146
ISSN
  • 0080-4649 (ISSN-L)
  • 0962-8452
  • 1471-2954
OpenAlex
W2005702085
Cited by
383
References
26
FWCI
38.50
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Self-organized lane formation and optimized traffic flow in army ants. https://app.cochat.ai/papers/10.1098/rspb.2002.2210
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Couzin, I. D., & Franks, N. R. (2003). Self-organized lane formation and optimized traffic flow in army ants. Proceedings of the Royal Society of London. Series B: Biological Sciences. https://doi.org/10.1098/rspb.2002.2210

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.