Case Studytelemetrycontrol systemsaprilia racingmachine learning
Aprilia Engineer Optimizes MotoGP Bike Control Strategies
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Elena De Cia, who leads control strategies and support data models at Aprilia Racing, explains how telemetry and sensor data guide race-weekend engineering decisions in MotoGP. She details adjustments to traction control, engine braking and torque delivery, the use of preconfigured strategy sets and machine learning for pattern detection, and the sport's gradual increase in female engineers at circuits such as Chang International Circuit, Thailand.
