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Control Architecture for Connected Vehicle Platoons: From Sensor Data to Controller Design Using

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  • 1Department of Automatic Control and Applied Informatics, "Gheorghe Asachi" Technical University of Iasi, 700050 Iasi, Romania.

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Summary
This summary is machine-generated.

A new control architecture for connected vehicle platoons offers solutions for traffic issues. This system enhances safety, traffic flow, and fuel efficiency through Cooperative Adaptive Cruise Control (CACC).

Keywords:
CACCDMPCV2X communicationconnected vehicle platoonscontrol architecture

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Area of Science:

  • Automotive Engineering
  • Control Systems
  • Traffic Management

Background:

  • Traffic congestion and safety concerns necessitate advanced vehicle control solutions.
  • Connected vehicle platoons offer potential benefits like improved traffic flow and reduced emissions.

Purpose of the Study:

  • To present a general control architecture for connected vehicle platoons.
  • To design and evaluate a Cooperative Adaptive Cruise Control (CACC) system within this architecture.

Main Methods:

  • Comprehensive overview of control architecture levels: sensor technologies, in-vehicle networks, communication, and control solutions.
  • Design of a CACC functionality.
  • Implementation of two control algorithms: distributed model-based predictive control (DMPC) and feedback gain matrix method.

Main Results:

  • The proposed control architecture and CACC functionality were successfully designed.
  • Simulation results demonstrate the effectiveness of the DMPC and feedback gain matrix methods for platoon control.

Conclusions:

  • The developed control architecture provides a viable framework for connected vehicle platoons.
  • The proposed CACC control algorithms are suitable for managing the longitudinal dynamics of vehicle platoons, enhancing performance and safety.