This project harnesses data-driven, computational methodologies to extract valuable insights within micromobility systems with a specific focus on Barcelona’s bike-sharing system, Barcelona de Serveis Municipals (BSM). The first objective is to use advanced artificial intelligence techniques to identify abnormal demands in the Barcelona de Serveis Municipals (BSM) stations of Barcelona city that could be associated with unexpected events in the neighbourhood. The second objective focuses on creating a system capable of forecasting the availability of electric bicycles and their corresponding battery levels, shedding light on electric bike mobility patterns. The third objective aims to develop an artificial intelligence system for predicting the lifetime cycle of bike components to streamline maintenance procedures, ensuring seamless operations and optimal user experiences. And finally, the fourth objective is to develop a proof of concept for a Mobility Data Space platform that aggregates mobility-related data from Barcelona.
