<p>This research investigates the control problem of a hybrid platoon system consisting of connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) based on driving characteristics. It addresses issues such as collisions and breakdowns during the vehicle driving process, and establishes a hybrid platoon following model that considers spacing and speed strategies. To address challenges related to information redundancy and disturbances in a connected vehicle network, an integral event-triggered mechanism (IETM) is designed for the proposed model. In addition, a model of uniform traffic flow is presented to demonstrate the asymptotic stability and linear stability of the system under uniform traffic flow conditions. Finally, the effectiveness of the developed models and algorithms is illustrated by simulations.</p>

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Event-triggered Hybrid Platoon Control: A Driving Characteristics-Based Approach

  • Jingpeng Hu,
  • Xiaoyan Zhang,
  • Hongxia Shen,
  • Zhiguo Xiong

摘要

This research investigates the control problem of a hybrid platoon system consisting of connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) based on driving characteristics. It addresses issues such as collisions and breakdowns during the vehicle driving process, and establishes a hybrid platoon following model that considers spacing and speed strategies. To address challenges related to information redundancy and disturbances in a connected vehicle network, an integral event-triggered mechanism (IETM) is designed for the proposed model. In addition, a model of uniform traffic flow is presented to demonstrate the asymptotic stability and linear stability of the system under uniform traffic flow conditions. Finally, the effectiveness of the developed models and algorithms is illustrated by simulations.