Advancements in Predictive Control and Connected Vehicle Systems

The field of predictive control and connected vehicle systems is moving towards more efficient and safe solutions. Researchers are exploring innovative methods to improve traffic efficiency and safety, such as data-driven predictive control strategies and cooperative adaptive cruise control (CACC) systems. These advancements have the potential to reduce energy consumption and emissions, while also enhancing the overall driving experience. Noteworthy papers include:

  • Experimental Implementation and Validation of Predictor-Based CACC for Vehicular Platoons With Distinct Actuation Delays, which provides experimental validation of a predictor-based CACC design.
  • Safe and Efficient Data-driven Connected Cruise Control, which designs a safe and efficient cruise control for connected automated vehicles.

Sources

Comparative Analysis of Data-Driven Predictive Control Strategies

Experimental Implementation and Validation of Predictor-Based CACC for Vehicular Platoons With Distinct Actuation Delays

Safe and Efficient Data-driven Connected Cruise Control

Green Wave as an Integral Part for the Optimization of Traffic Efficiency and Safety: A Survey

Experimentally-Driven Analysis of Stability in Connected Vehicle Platooning: Insights and Control Strategies

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