ML model for predicting tire performance curves, cliff points, and optimal stint lengths by compound
Tire performance prediction capabilities
Model tire performance degradation over stint length with compound-specific curves.
Predict when tires will hit the performance cliff based on degradation patterns.
Adjust predictions based on air and track temperature conditions.
Account for fuel load impact on tire degradation throughout the race.
Predict lap time loss per lap based on tire age and conditions.
Calculate ideal stint length to maximize performance by compound.
How the Tire Degradation Model is used
Strategy Planning - Inform pit stop strategy based on predicted tire performance windows
Live Monitoring - Track real-time tire degradation against predicted curves during races
Compound Selection - Choose optimal tire compounds based on predicted stint performance
Performance Alerts - Trigger warnings when tires approach critical degradation points
Historical Analysis - Compare tire performance across sessions and circuits
App
Real-time motorsport analytics platform with live timing and AI insights.
ML Model
Dynamic programming model for optimal pit stop timing and strategy.
ML Model
XGBoost model for race finish predictions with confidence scoring.
See how the Tire Degradation Model can enhance your tire strategy analysis
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