Characteristics of ant-inspired traffic flow: Applying the social insect metaphor to traffic models

TL;DR

This paper explores ant trail traffic flow through theoretical models and empirical observations, revealing unique flow characteristics and discussing implications for optimizing traffic systems inspired by social insect behavior.

Contribution

It introduces minimal cellular automata models for ant traffic and compares theoretical predictions with empirical data, highlighting novel flow dynamics distinct from traditional traffic systems.

Findings

Ant traffic exhibits unique flow characteristics different from vehicular and pedestrian traffic.

Theoretical models successfully replicate observed ant trail behaviors.

Implications for flow optimization based on ant trail dynamics are discussed.

Abstract

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 pedestrians dynamics, are found. The theoretical investigations are supplemented by an empirical study of bidirectional traffic on a trail of Leptogenys processionalis. Finally, we discuss some plausible implications of our observations from the perspective of flow optimization.