MOVE-BILBO platform utilises cutting-edge data analysis techniques to track and analyse passenger demand for bus transportation. By using machine learning algorithms, we can accurately predict the expected number of passengers on each bus, providing key insights for operators to better manage their fleets and optimise routes.
Our solution is designed to provide real-time information to both bus operators and passengers, enabling them to make informed decisions about their daily transportation needs. This can lead to improved scheduling, reduced waiting times, and ultimately, a more efficient and effective public transportation system.
Usage of Standards for data interoperability:
Our product will comply with the European Interoperability Framework (EIF) and CEN European Reference Data Model for Public Transport Information (Transmodel).