An app to analyze routes in gpx format to identify the most common starting and end points and analyze:
- duration of each routes
- speed
- "Crow Speed", i.e. the crow distance divided by time
... across:
- common start/end-point combinations (called "startendcluster" in the app)
- common routes for these combinations (called "clusters" in the app)
- temperature
- weekday
- season
- time of the day
The app is currently only tested with gpx files, recorded and downloaded from https://www.bikecitizens.net/de/, a wonderful app with easy recording functionality.
The python dependencies are shown in the file pyproject.toml. You can install and run with poetry:
poetry install
poetry run gunicorn app:app -b :8080
You can also install and run with pip:
pip install -r requirements.txt
gunicorn app:app -b :8080
With python app.py, you can run the application in dash debug mode
- test other sources than bike citizens
- data augmentation
- generate random test data
- include fitbit data
- tree models
- classification models
- SVC-algorithm, infer insights on features by probing predictions
- Accordion GUI for the workflow on the left panel
- Show single paths in a map when clicking on individual data
- Better coloring for Start and end
- Label Start/End clusters by getting addresses
- get average path for each cluster