Analysis of cooperative perception in ant traffic and its effects on transportation system by using a congestion-free ant-trail model

Prafull Kasture, Hidekazu Nishimura

Research output: Contribution to journalArticlepeer-review

Abstract

We investigated agent-based model simulations that mimic an ant transportation system to analyze the cooperative perception and communication in the system. On a trail, ants use cooperative perception through chemotaxis to maintain a constant average velocity irrespective of their density, thereby avoiding traffic jams. Using model simulations and approximate mathematical representations, we analyzed various aspects of the communication system and their effects on cooperative perception in ant traffic. Based on the analysis, insights about the cooperative perception of ants which facilitate decentralized self-organization is presented. We also present values of communication-parameters in ant traffic, where the system conveys traffic conditions to individual ants, which ants use to self-organize and avoid traffic-jams. The mathematical analysis also verifies our findings and provides a better understanding of various model parameters leading to model improvements.

Original languageEnglish
Article number2393
JournalSensors
Volume21
Issue number7
DOIs
Publication statusPublished - 2021 Apr 1

Keywords

  • Ant traffic
  • Communication
  • Congestion-free transportation
  • Cooperative perception
  • Decentralize transportation
  • Intelligent transportation systems
  • Self-organisation in transportation

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

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