IA idea · Sport
When should a Formula 1 driver pit? Modelling tyre degradation
Research question
Using lap-time data from a real race, can a linear or quadratic model of tyre degradation find the lap on which a one-stop driver should pit to minimise total race time?
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Why it makes a good exploration
Race strategy is mathematics under pressure. Lap times get slower as tyres wear; a pit stop costs about 20 seconds. Modelling the trade-off with real lap data gives an optimisation problem with a clear answer to check against what teams did.
The mathematics you'll need
- Regression of lap time against tyre age
- Total time as a sum (arithmetic series or integral)
- Minimising total time with respect to pit lap
- Comparison of one- and two-stop strategies
Where the data comes from
Download lap times and pit-stop data for a race from the Jolpica-F1 API.
- Jolpica-F1 API — Free Formula 1 results, lap times and pit stops from 1950 (the successor to the closed Ergast API).
A possible outline
- Clean the data (safety cars, traffic).
- Fit degradation models for each tyre compound.
- Write total race time as a function of the pit lap.
- Optimise and compare with the real strategy.
- Reflect on fuel load, track position and safety cars.
Pitfalls that cost marks
- Including safety-car laps in the fit.
- Ignoring that the car gets lighter as fuel burns.
- Overlooking undercut/overcut effects.
Showing personal engagement
- Choose a race you watched.
- Compare your strategy with the winner's.
- Explain a surprising team decision using your model.
See Criterion C: personal engagement for what examiners look for.
Which course is it for?
| Course | Fit | Maths to lean on |
|---|---|---|
| AA SL | Fits — ambitious at SL | Regression of lap time against tyre age; Total time as a sum (arithmetic series or integral) |
| AA HL | Good fit | Regression of lap time against tyre age; Total time as a sum (arithmetic series or integral) |
| AI SL | Fits — ambitious at SL | Regression of lap time against tyre age; Total time as a sum (arithmetic series or integral) |
| AI HL | Good fit | Regression of lap time against tyre age; Total time as a sum (arithmetic series or integral) |
Level: Ambitious. Suits confident students; expect to learn some mathematics on your own. See how the IA differs between AA and AI, SL and HL.
How this idea reaches the top bands
Reflection (D)
For this idea, start with the weak points: including safety-car laps in the fit; and ignoring that the car gets lighter as fuel burns. Say how each one affects your answer.
Use of mathematics (E)
SL: regression of lap time against tyre age; total time as a sum (arithmetic series or integral); minimising total time with respect to pit lap; comparison of one- and two-stop strategies, each explained in your own words and carried out correctly.
How sport explorations reach the top bands in general: Sport IA ideas. Guides: A · B · C · D · E · self-grade sheet.
Taking it further
Add a fuel-load correction (lap time falls as fuel burns) and re-optimise.
Extending it for HL
Add an HL technique the question genuinely needs: what an HL sport exploration adds.
See a complete IA, marked
How long does a skydiver take to reach terminal velocity? (AA HL) is a complete sport exploration, marked on every criterion.
Frequently asked questions
Which IB Maths course is this IA idea for?
It works for AA SL, AI SL, AA HL and AI HL. We rate it Ambitious: it suits confident students, who should expect to learn some mathematics on their own.
What mathematics does this IA use?
Regression of lap time against tyre age, total time as a sum (arithmetic series or integral), minimising total time with respect to pit lap and comparison of one- and two-stop strategies.
Where can I get data for this IA?
Download lap times and pit-stop data for a race from the Jolpica-F1 API. Checked sources and tools: Jolpica-F1 API.
Turn this idea into your IA
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