The MEDEVA project aims to research and develop AI/ML technologies applied in the field of intermodal mobility. This project aims to:
Definition and design of components and services to facilitate the connection of different systems within the transport ecosystem.
Definition and design of components and services to facilitate the connection of different systems within the intermodal transport ecosystem.
Research on communication interfaces between different transport operators and vehicle rental services; mobility service platforms and fleet management, and intermodal service aggregators, including transactional data throughout the contracting process and interaction with vehicles via an app.
Research on communication interfaces between connected vehicles, other modes of transport (trains, buses, and airplanes), IoT components of the Smart City, and mobility service platforms and fleet management systems.
Research on artificial intelligence algorithms applied to auto-generation of code based on streaming test data.
