Characteristics of ant-inspired traffic flow

  title={Characteristics of ant-inspired traffic flow},
  author={A. Michael John and Andreas Schadschneider and Debashish Chowdhury and Katsuhiro Nishinari},
  journal={Swarm Intelligence},
We investigate the organization of traffic flow on preexisting uni- and bidirectional ant trails. Our investigations comprise a theoretical as well as an empirical part. We propose minimal models of uni- and bi-directional traffic flow implemented as cellular automata. Using these models, the spatio-temporal organization of ants on the trail is studied. Based on this, some unusual flow characteristics which differ from those known from other traffic systems, like vehicular traffic or… 

CA Modeling of Ant-Traffic on Trails

In traffic systems, vehicles are represented by particles while their mutual influence is captured by the inter-particle interactions, which leads to a monotonic decrease of the average speed as function of the particle density.

Self-organized traffic via priority rules in leaf-cutting ants

A model based on a set of local priority rules is introduced to investigate whether they are sufficient to produce traffic similar to that observed in the experiments on both a narrow and a wider trail and establishes that the model is able to reproduce key characteristics of the traffic on the trails.

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The Asymmetric Simple Exclusion Process is the simplest cellular automaton which captures the essential aspects of most transport and traffic phenomena and various generalizations of the ASEP are discussed.

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Collective effects in traffic on bi-directional ant trails.

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The main aim of the present work is the investigation of the dynamical properties of traffic on preexisting ant trails and the understanding of the already existing unidirectional ant trail model was improved.

Traffic on bi-directional ant-trails

It is shown that interactions between the ants give rise to interesting collective behavior which is reflected in the flow properties and the spatio-temporal organization of the ants along the trail.

Traffic on Bidirectional Ant Trails: Coarsening Behaviour and Fundamental Diagrams

Traffic on preexisting ant trails is investigated using minimal cellular automaton models and it is shown how coarsening in both models can be understood in terms of different kinds of dynamically induced disorder.

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

  • I. CouzinN. Franks
  • Computer Science
    Proceedings of the Royal Society of London. Series B: Biological Sciences
  • 2003
A new model is developed with a quantitative study of the behaviour of the army ant Eciton burchelli to 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.

Collective Traffic-like Movement of Ants on a Trail: Dynamical Phases and Phase Transitions

The traffic-like collective movement of ants on a trail can be described by a stochastic cellular automaton model. We have earlier investigated its unusual flow-density relation by using various mean

From ant trails to pedestrian dynamics

A model for the simulation of pedestrian dynamics inspired by the behaviour of ants in ant trails is presented, able to reproduce the collective effects observed empirically, eg the formation of lanes in counterflow.

Temporal organization of bi-directional traffic in the ant Lasius niger (L.)

A model is proposed to assess in various conditions the importance of the behavioural rules observed at the individual level for the regulation of traffic flow and highlights how the interplay between the value of the flow and cooperative behaviours governs the formation and size of the clusters observed on the bridge.

Ecological consequences of traffic organisation in ant societies

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An experimental study of ants confronted with two alternative routes finds that pheromone-based attraction generates one trail at low densities, whereas at a high level of crowding, another trail is established before traffic volume is affected, which guarantees that an optimal rate of food return is maintained.