Analysis of Microscopic Behavior in Ant Traffic to Understand Jam-free Transportation

Prafull Kasture, Hidekazu Nishimura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present an analysis of microscopic behaviors of ants to understand ant interactions that lead to jam-free ant traffic. For the analysis here, we use an agent-based model of ant traffic and mathematical analysis of key scenarios on the ant trail to understand relations between ants' environment and the interactions of ants with it. Our analysis indicates that ants increase their velocity for decreasing headway, which leads to a peculiar jam absorption mechanism. We also show that ants on trail collect information about flow in the recent past, which allows them to make informed decisions about their travel. Based on our observation, we propose that mimicking an ant communication system could help individuals in man-made transportation systems to make better decisions for higher efficiency, which could improve the efficiency of overall system.

Original languageEnglish
Title of host publicationProceedings of the 2020 4th International Conference on Intelligent Systems, Metaheuristics and Swarm Intelligence, ISMSI 2020
PublisherAssociation for Computing Machinery
Pages59-64
Number of pages6
ISBN (Electronic)9781450377614
DOIs
Publication statusPublished - 2020 Mar 21
Event4th International Conference on Intelligent Systems, Metaheuristics and Swarm Intelligence, ISMSI 2020 - Thimphu, Bhutan
Duration: 2020 Mar 212020 Mar 22

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Conference on Intelligent Systems, Metaheuristics and Swarm Intelligence, ISMSI 2020
CountryBhutan
CityThimphu
Period20/3/2120/3/22

Keywords

  • ant-traffic
  • emergent behavior
  • intelligent transportation system
  • jam-free traffic
  • self organization
  • swarm-intelligence

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Kasture, P., & Nishimura, H. (2020). Analysis of Microscopic Behavior in Ant Traffic to Understand Jam-free Transportation. In Proceedings of the 2020 4th International Conference on Intelligent Systems, Metaheuristics and Swarm Intelligence, ISMSI 2020 (pp. 59-64). [3396491] (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3396474.3396491