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Open Access Publications from the University of California

Fuzzy Throttle And Brake Control For Platoons Of Smart Cars


This study demonstrates the use of an additive fuzzy system to control the velocity and gap of cars in a single lane two-car platoon. A throttle- only controller and a combined throttle and braker controller were tested. Simulation results show that follower cars with a combined brake/ throttle controller can maintain a constant gap when the platoon goes down hills and slows. An adaptive throttle controller uses a neural system to learn the fuzzy rules for different vehicle types.

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