We’ll use Python 3.11 with these libraries:
pip install gpxpy geopy numpy scipy matplotlib pandas
GPS errors of 2–5 meters are common. Over a lap, that means your "lap length" might vary by 10 meters – enough to make time comparisons useless.
M verified means every distance measurement is corrected to sub-meter accuracy using one or more methods:
A verified script will output:
Lap 7: 3024.3 m (verified ±0.4 m) – 1:48.22
Lap 8: 3024.2 m (verified ±0.3 m) – 1:48.19
Without verification, you cannot trust a 0.03-second improvement.
| Inf Type | How to Auto-Generate | Script Example |
|----------|----------------------|----------------|
| Corner entry/exit | Peak lateral G reversal | find_apex(lat_g_arr) |
| Braking zone start | Deceleration > 0.5g | np.where(decel < -0.5) |
| Track straight | Lateral acceleration < 0.1g for >2s | rolling_g_sd() |
| Start/finish line | GPS crossing of saved coordinate | haversine(prev_pos, line_pos) < 5 meters |
Once your script detects this infrastructure, you can auto-split lap times into sectors without manual timing gates. moto trackday project script auto race inf m verified
“Moto Trackday Project: Auto Race INF (Verified)”
or
“Your Lap, Visualized – Moto INF VERIFIED”
The script moto_trackday_ai.py runs continuously and performs these verified actions:
This article explains how to plan and run a motorcycle trackday project with a structured script for event operations, safety, rider briefings, and data collection. It’s aimed at small clubs or organizers who want a professional, repeatable process that prioritizes safety, rider development, and clear communication. We’ll use Python 3
You run your script after a session. Output:
Lap 10: 1:48.22
Sector times:
- S1 (0–850m): 32.10s
- S2 (850–1850m): 34.05s <<< anomaly: +0.5s vs best
- S3 (1850–3024m): 42.07s
Auto-race-inf detection flags that meter 1,850 is the entry to a fast right-left chicane. The script pulls throttle position data and reveals you’re lifting 20 meters early every lap at that exact spot.
Solution: Adjust brake marker. Next session, you gain 0.4 seconds. GPS errors of 2–5 meters are common
That’s the power of scripted, verified, auto-infrastructure trackday projects.