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Control Architecture for Connected Vehicle Platoons: From Sensor Data to Controller Design Using
Razvan-Gabriel Lazar1, Ovidiu Pauca1, Anca Maxim1
1Department of Automatic Control and Applied Informatics, "Gheorghe Asachi" Technical University of Iasi, 700050 Iasi, Romania.
Sensors (Basel, Switzerland)
|September 9, 2023
Summary
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).
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.
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