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Publication: Fuzzy Control for Platooning Systems Based on V2V Communication

This paper develops an innovative approach for using adaptive PID (Proportional, Integral and Derivative) controllers for fuzzy logic theory to maintain a variable time-gap between dynamic vehicles, particularly within a platooning system. Our study demonstrates the robustness of maintaining a safe gap between vehicles, despite using specific vehicle models. To validate the robustness of our platooning system it is required to exchange a basic set of information via V2V communication protocols. However, this information requires the dynamic state knowledge of the vehicle in front. Simulation results presented in this paper show a significant improvement in maintaining a variable time-gap between vehicles, resulting in a safe and efficient flow of traffic within the platooning system.


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