Churnbusters used publicly available data from Helsinki Region Transport (HSL) and the Finnish Meteorological Institute (FMI) to predict how people will use city bikes in different weather conditions and throughout the week.
Click on Predict and play with the sliders to see the AI predicting the availability of city bikes for any given weather condition, any time of the day.
You can explore, for example, how the availability of bikes around the railway station changes throughout the day, or how warm temperatures bring out cyclists in Kallio.
The training dataset contains over 10 000 records in 10 minute intervals and covers bike usage data from August until October 2018. Due to this limited availability, the tool restricts feature values, such as temperatures, to a range that occurred during this time period.