
MobiSpaces is a European project focused on creating an innovative, effective, robust, and green ecosystem for mobility data. It aims to deliver an end-to-end mobility-aware and mobility-optimized data governance platform. Utilizing AI-based mobility analytics, the project enhances energy efficiency within the Mobility Data Space, contributing to the European green transition. Key innovations include Anomaly Detection with federated learning, MEOS Trajectory Algorithm for open-source mobility data management, MobiEdge for benchmarking mobility software and hardware, a Smart Resource Allocator for optimizing AI workflow deployment, and TrajParquet, an efficient file format for trajectory datasets. The project engages with the community through newsletters, podcasts, workshops, and open consultations.

MobiSpaces is a European project focused on creating an innovative, effective, robust, and green ecosystem for mobility data. It aims to deliver an end-to-end mobility-aware and mobility-optimized data governance platform. Utilizing AI-based mobility analytics, the project enhances energy efficiency within the Mobility Data Space, contributing to the European green transition. Key innovations include Anomaly Detection with federated learning, MEOS Trajectory Algorithm for open-source mobility data management, MobiEdge for benchmarking mobility software and hardware, a Smart Resource Allocator for optimizing AI workflow deployment, and TrajParquet, an efficient file format for trajectory datasets. The project engages with the community through newsletters, podcasts, workshops, and open consultations.