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

Prafull Kasture, Hidekazu Nishimura

研究成果: Conference contribution

抜粋

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.

元の言語English
ホスト出版物のタイトルProceedings of the 2020 4th International Conference on Intelligent Systems, Metaheuristics and Swarm Intelligence, ISMSI 2020
出版者Association for Computing Machinery
ページ59-64
ページ数6
ISBN(電子版)9781450377614
DOI
出版物ステータスPublished - 2020 3 21
イベント4th International Conference on Intelligent Systems, Metaheuristics and Swarm Intelligence, ISMSI 2020 - Thimphu, Bhutan
継続期間: 2020 3 212020 3 22

出版物シリーズ

名前ACM International Conference Proceeding Series

Conference

Conference4th International Conference on Intelligent Systems, Metaheuristics and Swarm Intelligence, ISMSI 2020
Bhutan
Thimphu
期間20/3/2120/3/22

ASJC Scopus subject areas

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

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  • これを引用

    Kasture, P., & Nishimura, H. (2020). Analysis of Microscopic Behavior in Ant Traffic to Understand Jam-free Transportation. : 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