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This is a Experimental Study study.

Predictive adaptive cruise control system based on a vehicle-cloud dual closed-loop control architecture

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Proposed predictive adaptive cruise control algorithm improves fuel savings and safety in vehicles, suggesting a new control architecture.

The proposed PACC algorithm achieves 3% to 10% fuel savings compared to conventional ACC systems, enhancing energy efficiency.
Simulation results show that the dual-loop architecture significantly improves following performance and reduces unnecessary braking actions.
Utilizing Gaussian Process Regression, the system optimizes real-time following speed based on predicted preceding vehicle speed.
The integration of the cloud control system supports stability and safe operation, indicating potential for future commercial vehicle applications.

Wang et al. (2025) studied this question.

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Proposed predictive adaptive cruise control algorithm improves fuel savings and safety in vehicles, suggesting a new control architecture.