The Python script extract.py extracts the current GPS position and train speed (in km/h) from the live map publicly accessible in ÖBB railnet trains, hence the name of the repository. It works when being connected to the train's WiFi but independent of your device's position sensor. The data is parsed periodically (every 2 seconds) and stored to a CSV file for further analysis.

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You can also run the second Python script serve.py using Flask in addition. It will serve the extracted data on your own website from the latest logged CSV data. Please note that it must be started using flask --app serve run (python serve.py would immediately finish execution and return).

$ flask --app serve run
 * Serving Flask app 'serve'
 * Debug mode: off
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
 * Running on http://127.0.0.1:5000
Press CTRL+C to quit
...

Use your favorite web browser and go to the URL listed in the console output: http://127.0.0.1:5000

Optionally, you can visualize the recorded tracks using Python script visualize.py: it will create an HTML map file (travel_map.html) using OpenStreetMap to visualize every journey CSV file as polyline:

By (current) default, you can even get a very colorful map that also dies visualize train speed:

This script automatically sends two HTTP GET requests to the API - one for speed and one for location. The source for the train speed seems to be independent of GPS - as speed still works in tunnels whereas location (obviously) doesn't.

• Working Python3 environment with the requests module installed.
• Be on an ÖBB train (tested on RJX so far).
• Manually connect to WiFi "OEBB".
• Python module folium for visualization of track on map (optional).

You could also ...

• merge this with db-ice-localizer-speedometer.
• (see other ideas there)