Platoon Definitions and Analysis of Correlation between Number of Platoons and Jamming in Traffic System

Prafull Kasture, Hidekazu Nishimura

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Using an agent-based traffic models, we analyze the manner in which the number of platoons within a traffic system is correlated with the appearance of traffic jams. Two definitions of a platoon are proposed and verified using agent-based simulations to find the one that provides the most realistic representation of traffic behavior in a stochastic model. We observe that traffic jams are closely related to the convergence of multiple platoons into a single platoon containing all the agents in the model. We also observed that at high-density, traffic system maintains a metastable state when it has multiple platoons in it. A traffic jam occurs when these multiple platoons are merged into a single platoon, which is equivalent to the concept of an infinite cluster in percolation theory.

Original languageEnglish
Article number8939352
Pages (from-to)319-328
Number of pages10
JournalIEEE Transactions on Intelligent Transportation Systems
Volume22
Issue number1
DOIs
Publication statusPublished - 2021 Jan

Keywords

  • Multi-platoon dynamics
  • jam-free traffic
  • metastability
  • multi-agent system
  • self-organization

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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