Argentine ants regulate traffic flow with stopped individuals

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Dobramysl, Ulrich, Garnier, Simon, Poissonnier, Laure-Anne, Dussutour, Audrey, Bruna, Maria
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866916514673721344
author Dobramysl, Ulrich
Garnier, Simon
Poissonnier, Laure-Anne
Dussutour, Audrey
Bruna, Maria
author_facet Dobramysl, Ulrich
Garnier, Simon
Poissonnier, Laure-Anne
Dussutour, Audrey
Bruna, Maria
contents We investigated the emerging traffic patterns of Argentine ants (Linepithema humile) as they navigated a narrow bridge between their nest and a food source. By tracking ant movements in experiments with varying bridge widths and colony sizes and analyzing the resulting trajectories, we discovered that a small subset of ants stopped for long periods of time, acting as obstacles and affecting traffic flow. Interestingly, the fraction of these stopped ants increased with wider bridges, suggesting a mechanism to reduce traffic flow to a narrower section of the bridge. To quantify transport efficiency, we measured the average speed of the ants on the bridge as a function of the pressure of ants arriving at the bridge, finding this relationship to be an increasing but saturating function of the pressure. We developed an agent-based model for ant movement and interactions to better understand these dynamics. Including stopped agents in the model was crucial to explaining the experimental observations. We further validated our hypothesis by introducing artificial obstacles on the bridges and found that our simulations accurately mirrored the experimental data when these obstacles were included. These findings provide new insights into how Argentine ants self-organize to manage traffic, highlighting a unique form of dynamic obstruction that enhances traffic flow in high-density conditions. This study advances our understanding of self-regulation in biological traffic systems and suggests potential applications for managing human traffic in congested environments.
format Preprint
id arxiv_https___arxiv_org_abs_2412_06587
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Argentine ants regulate traffic flow with stopped individuals
Dobramysl, Ulrich
Garnier, Simon
Poissonnier, Laure-Anne
Dussutour, Audrey
Bruna, Maria
Populations and Evolution
Quantitative Methods
We investigated the emerging traffic patterns of Argentine ants (Linepithema humile) as they navigated a narrow bridge between their nest and a food source. By tracking ant movements in experiments with varying bridge widths and colony sizes and analyzing the resulting trajectories, we discovered that a small subset of ants stopped for long periods of time, acting as obstacles and affecting traffic flow. Interestingly, the fraction of these stopped ants increased with wider bridges, suggesting a mechanism to reduce traffic flow to a narrower section of the bridge. To quantify transport efficiency, we measured the average speed of the ants on the bridge as a function of the pressure of ants arriving at the bridge, finding this relationship to be an increasing but saturating function of the pressure. We developed an agent-based model for ant movement and interactions to better understand these dynamics. Including stopped agents in the model was crucial to explaining the experimental observations. We further validated our hypothesis by introducing artificial obstacles on the bridges and found that our simulations accurately mirrored the experimental data when these obstacles were included. These findings provide new insights into how Argentine ants self-organize to manage traffic, highlighting a unique form of dynamic obstruction that enhances traffic flow in high-density conditions. This study advances our understanding of self-regulation in biological traffic systems and suggests potential applications for managing human traffic in congested environments.
title Argentine ants regulate traffic flow with stopped individuals
topic Populations and Evolution
Quantitative Methods
url https://arxiv.org/abs/2412.06587