Technical DemonstrationRace Strategy
Race Strategy Simulation
Modelling stint length, degradation and pit windows for an endurance-format race.
- Scenarios modelled
- 24
- Race format
- 4h endurance
- Pit-window options
- 3
Illustrative data for demonstration purposes.
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case-strategy-cover.jpg — 1600×1000, pit wall monitors at dusk
01Problem
An endurance-format race requires a stint plan that holds up under safety cars, degradation uncertainty and driver-time rules.
02Method
- 01Fit a degradation model from long-run practice data.
- 02Simulate stint combinations within fuel and driver-time constraints.
- 03Stress-test each plan with safety-car timing scenarios.
03Analysis
A plan that is fastest on paper loses its advantage under most safety-car scenarios; a slightly longer first stint is more robust.
04Findings
- Degradation becomes the dominant factor after the mid-point of a stint.
- Robust plans keep a pit window open for safety-car opportunities.
- A small number of pre-agreed triggers simplify pit-wall decisions.
05Performance Opportunity
Choosing a robust plan over a theoretically optimal one reduces exposure to race-day variance.
06Conclusion
Strategy is risk management. Modelling it beforehand turns race-day calls into pre-planned responses.
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