Automated live bike sharing demand predictions using Machine Learning and Open Data.
All bike sharing systems around the world suffer from the same issues, unequal riding patterns. This project tries to mitigate this issues for users by creating daily availability predictions based on recent usage.
Download the iOS app.
Prediction data is generated automatically at midnight on each time-zone. REST API is available and has documentation on how to use it.
The main area of development is around the iOS app and the Machine Learning engine, although there is available a web version fro demonstration purposes for the next cities cited below.
Bilbao - Bilbao Bizi
Madrid - BiciMAD
New York - citibike
Paris - Live in iOS app
London - Coming soon
SourceNeural Bikes is used by users around the world to check on bike sharing services statuses. You can contribute to the code that is already available online:
If you have any suggestions or want to get in touch please do so by mail or twitter.
Code is Open Source, machine learning (code) & ios app (code)
The development of this project has been continuous since four years ago by one individual. If you are using this as a company please consider sponsoring the development.