Analyizing taxi trips with the Routing API & Jupyter Notebook
In this tutorial, we use python 3 to:
- Set up and display a basic TomTom Map
- Using sample taxi trip data in a CSV file, display trips on the map
- Use the TomTom Routing API to compare optimized routes to the Taxi trips
- Make a few calculations to see what the average deviation is between the sampel data and the TomTom Routes
- Display histograms, clusters, and colorized polylines to visualize differences and delays
This was originally streamed on Twitch, and will be up on our YouTube channel, https://www.youtube.com/channel/UCL-ZtGd70Khd_9OJACd6rXA/videos soon!
There is also a blog on the developer portal which can be found here: https://developer.tomtom.com/blog/build-different/do-taxi-drivers-take-fastest-route.
Register on the developer portal for a free API key to get started: https://bit.ly/38nbvLX
To use the python code above, paste each section into the separat cells indicated.
To get started with Jupyter Notebook, check out their website, and then run jupyter-lab in your terminal to get going.
To use the notebook, start Jupyter lab and open it directly.
The data set used here, in the article, and referenced in the CSV is originally from Kaggle.https://www.kaggle.com/c/pkdd-15-taxi-trip-time-prediction-ii
Happy Mapping!