Race

I started tinkering with geolocation data on this repo.

But my goal was: to create a Race Analytics solution.

For which we need:

1. Data Collection
2. Data Visualization (offline)
3. IoT / Telemetry setup
4. Data based feedback on your racing like a PRO

Racing Data

Geo Data

Geolocation data is fantastic:

GoPro GPS Telemetry Magic

OA5 versus GoPro data extraction

GoPro Metadata Speed trackday

Getting GPS info during while driving on circuits

If you got a GoPro with GPS, you can have lot of fun:

Racing Analytics

Driver lap comparison based on Matplotlib x GPS

F1 Data

This is one of the cool ones that you can get via API

Amazon AWS handles F1 telemetry data with very high frequency/granularity that any data geek would dream.

There are some people that put together some formula 1 data for analysis:

• https://github.com/IAmTomShaw/f1-race-replay
  • https://github.com/JAlcocerT/f1-race-replay

Uses fastf1 package to source the data via API

python main.py --year 2025 --round 12 --qualifying

Improving your Racing with Data

Optimum Path

If you know a circuit’s geometry, why not estimating the best path for a given kart to go for those hot laps?

Optimum Path | part 1

Mass Point Model + G-circle

This is also a chance to try more complex algorithm:

Optimum Gears

Probably you Kart have no gears.

But in case it does, you will need to take this into consideration: Maaax Poweeeer…

• https://github.com/JAlcocerT/Private/tree/main/Py_optimum_gears

Other Racing Resources

If you like Mechanisms and animations as a code

You will probably enjoy this section: