Stabilizing mixed vehicular platoons with connected automated vehicles: An H-infinity approach

Yang Zhou, Soyoung Ahn, Meng Wang, Serge Hoogendoorn

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)

Abstract

This paper presents a car-following control strategy of connected automated vehicles (CAVs) to stabilize a mixed vehicular platoon consisting of CAVs and human-driven vehicles. This study first establishes a string stability criterion for a mixed vehicular platoon. Specifically, a mixed vehicular platoon is decomposed into “subsystems” that are all possible sequential subsets of the platoon. String stability is then defined as the “head-to-tail” string stability for all subsystems: the magnitude of a disturbance is not amplified from the first vehicle to the last vehicle of each subsystem. Based on this definition, distributed frequency-domain-based CAV control is proposed to increase the number of head-to-tail string stable subsystems and consequently dampen stop-and-go disturbances drastically. Specifically, an H-infinity control problem is formulated, where the maximum disturbance “damping ratios” in each subsystem is minimized within the predominant acceleration frequency boundaries of human-driven vehicles. Simulation experiments, embedded with real human-driven vehicle trajectories, were conducted, and results show that the proposed control can effectively dampen stop-and-go disturbances.
Original languageEnglish
Pages (from-to)152-170
Number of pages19
JournalTransportation Research Part B: Methodological
Volume132
DOIs
Publication statusPublished - 2020

Keywords

  • Car-following
  • CAV
  • Fast Fourier Transformation
  • H infinity control
  • Local stability
  • Mixed vehicle platooning
  • Nonlinear-nonconvex optimization
  • Platoon stabilization
  • String stability

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