TY - GEN
T1 - Data-Enabled Predictive Cloud Control Method for Connected Vehicle Platoons
AU - Li, Moqin
AU - Wang, Chao
AU - Liu, Jinshi
AU - Gao, Runze
AU - Xia, Yuanqing
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper proposes a data-enabled predictive cloud control method for connected vehicle platoons. In closed-loop platoon control, each vehicle continuously uploads real-time input-output data to the cloud, where the cloud formulates and solves an optimization problem using the Data-Enabled Predictive Control (DeePC) method by combining the pre-collected data with real-time measurements. The resulting optimal control commands are then sent back to the vehicles for execution. The DeePC method is deployed on a Kubernetes-based cloud platform that provides computing resources for containerized control tasks. Simulation results validate the effectiveness of the proposed method, which achieves accurate velocity tracking and coordinated spacing under both steady and time-varying reference scenarios.
AB - This paper proposes a data-enabled predictive cloud control method for connected vehicle platoons. In closed-loop platoon control, each vehicle continuously uploads real-time input-output data to the cloud, where the cloud formulates and solves an optimization problem using the Data-Enabled Predictive Control (DeePC) method by combining the pre-collected data with real-time measurements. The resulting optimal control commands are then sent back to the vehicles for execution. The DeePC method is deployed on a Kubernetes-based cloud platform that provides computing resources for containerized control tasks. Simulation results validate the effectiveness of the proposed method, which achieves accurate velocity tracking and coordinated spacing under both steady and time-varying reference scenarios.
KW - cloud control system
KW - connected vehicle platoon
KW - data-enabled predictive control
UR - https://www.scopus.com/pages/publications/105034256591
U2 - 10.1109/CVCI66304.2025.11348482
DO - 10.1109/CVCI66304.2025.11348482
M3 - Conference contribution
AN - SCOPUS:105034256591
T3 - 2025 9th CAA International Conference on Vehicular Control and Intelligence, CVCI 2025
BT - 2025 9th CAA International Conference on Vehicular Control and Intelligence, CVCI 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 9th CAA International Conference on Vehicular Control and Intelligence, CVCI 2025
Y2 - 24 October 2025 through 26 October 2025
ER -