The algorithms are based on data-driven methodologies drawn from a wide range of sources (ticketing, the schedule and bus cameras). Classical methods for processing time series have been incorporated into the prediction module. These include the ARIMA method and neural network algorithms that enable important variables such as the school calendar to be included in the occupation time series.
The new functionality is integrated within the Intelibus ecosystem of tools, a real-time information system in the passenger transport system, which uses GPS positions of buses and the ticketing system to provide useful information for public transport users and the service operator.
Testing of the beta version of the app began on 11 May and is available for Android (on Play Store) and iOS devices.