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 accessAbstract
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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Cites
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Collective patterns and decision-making
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Vicsek, T., & Zafeiris, A. (2012) · Physics Reports · doi:10.1016/j.physrep.2012.03.004 · Cited by 2,923
Sumpter, D. J. T. (2010) · doi:10.1515/9781400837106 · Cited by 914
Physics of transport and traffic phenomena in biology: from molecular motors and cells to organisms
Chowdhury, D., Schadschneider, A., & Nishinari, K. (2005) · Physics of Life Reviews · doi:10.1016/j.plrev.2005.09.001 · Cited by 313
Particle-Based Multidimensional Multispecies Biofilm Model
Picioreanu, C., Kreft, J.-U., & van Loosdrecht, M. C. M. (2004) · Applied and Environmental Microbiology · doi:10.1128/aem.70.5.3024-3040.2004 · Cited by 306
Metadata
- Authors
- Couzin, I. D., & Franks, N. R.
- Venue
- Proceedings of the Royal Society of London. Series B: Biological Sciences
- Publisher
- The Royal Society
- 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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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.