APXGP · Use case 02

Every tyre call is adata problem.

Run a fictional pit wall at Austin. Follow telemetry from acquisition through quality checks to a tyre strategy, challenge the forecast, then approve the call. Every decision leaves an inspectable record.

Synthetic vendor demonstration. 2024-era Austin tyre selection and rules, not a replay or a 2026 rules simulation. No live F1 feed or trained AI model.

2024-era Austin scenario / fictional car 7Synthetic telemetry · no live feed

APXGP.

Race strategy

RS–02 / Decision support

Running

Race control

Green flag

Race distance

L18 / 56

Track / rain risk

36.0°C / 18% 30 min

Tyre data quality

Current · 10 Hz model

SESSION +0.0 s / 0 MISSED TYRE FRAMES

Strategy recommendation

Box lap 24 Fit medium

End-of-lap entry · 2 C3 sets available

Candidate pit window

L20–28within 2 s

Next-best strategy

+2.5 srace time

Race engineer review

Recommendation only. No stop armed.

United States Grand Prix · Car 7

Circuit of the Americas, Austin

RAIN RISK · 30 MIN 18%

S1S2S3

Speed175 km/hLateral G2.9Tyre surface est.98.2°

West / stadium · DryCentral / esses · DryEast / hairpin · Dry

12 km/h

Gold marks the current sector. Follow car tracks the nearest turn; select a corner to pin its estimated apex conditions. Actual car channels are alongside. Timing loops and pit lane are schematic.

5.513 km20 turnsCounter-clockwise56 laps

Challenge the call

Inject a scenario. Watch the evidence change.

Adjust model inputs

Inputs change the scenario, not a real sensor. Rain arrival is compressed; the tyre-feed outage lasts eight simulated seconds. Changes withdraw any approved call.

Connect the call

What changes the decision?

Tyre model

Wear costs lap time

+0.084s / added tyre lap

0.059 s/lap of fuel relief can hide the degradation in raw lap times.

0.85 s/lap fresh-set advantage at equal fuel

Timing estimate

Where do we rejoin?

18.4s behind reference rival

1.6 s gap less 20.0 s net pit loss. Warm-up and other cars are excluded.

A quick stop alone does not guarantee clean air.

Track surface + forecast

Slick surface

0.01/ 1 mean moisture

Radar risk is 18% in 30 minutes. A forecast is not water on the racing line.

Wet-tyre plans need a forecast surface crossover.

The model, explained

How the model decides.

Model the degradation

Hand-tuned curves connect tyre age to lap-time loss. Heat and scripted graining steepen the curve. A thermal cliff penalizes long stints; fuel burn reduces lap time. No model is trained here.

Tyre ageLap-time loss

Find the crossover

A fresh set has to earn back the stop. Compare remaining race time, including an assumed 20 s net pit loss (12 s under the safety car), traffic and tyre warm-up. Net loss is not stationary service time; the simulated tyre change takes 2.6 s.

Fresh-tyre gain−Pit loss=Net gain

Compare the weather signals

A forecast is not a wet-track observation. Scripted rain reaches three zones in sequence. The wet-tyre branch becomes eligible at a modeled surface crossover. Losing the tyre feed blocks approval until it recovers.

Scenario forecastSurface estimateScripted radio

Check legality and sensitivity

Respect the available tyre sets and the two-compound dry-race rule, waived after using intermediates or wets. Compare each plan at 85%, 100% and 115% degradation. The pit window shows nearby laps within 2 s of the fastest plan.

Lower wearBaselineHigher wear

A deterministic, hand-tuned model, not trained AI. Candidate times are conditional on forecast weather; the range varies degradation by ±15% only. It is not a confidence interval. The 20 s / 12 s net pit losses, tyre inventory, weather, gaps and radio are demonstration assumptions. No full-field race, penalties, red flags or calibrated standing-water safety model is implemented.

Reference profile: Formula 1, 2024 United States Grand Prix. 56 laps, 5.513 km; C2 hard, C3 medium, C4 soft. The fictional session does not reproduce the race result.

A longer view

How the tyre call was made, then and now

1950s–1980s
The stopwatch era
Hand-held stopwatches, visual tyre checks and driver feedback shaped the call. Telemetry and radio became more common toward the end of this period.
1990s
Refuelling and the chief strategist
Refuelling returned in 1994. Fuel load, stop count and tyre life became a spreadsheet problem. The three-stop approach at Hungary in 1998 showed what mid-race lap-time arithmetic could do.
2000s
Telemetry and race simulators
Hundreds of channels streamed to the garage. Teams compared possible races in simulators; a four-stop win at Magny-Cours in 2004 challenged conventional strategy.
2010s
The degradation era
Tyre wear and the undercut became central. Factory strategy groups fed predictions to the pit wall using thermal cameras, pressure readings and traffic models.
2020s
AI-assisted strategy
Learned degradation models and weather fusion refresh the forecast throughout the race. The engineer and driver still make the call: a model cannot feel a kerb strike or hear confidence in a voice.

Back to all workflows

Illustrative concept, not client results. Fictional APXGP car 7; simulated data throughout. No official team, tyre supplier or championship affiliation.

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