Connected transport data (TREND)

Preprint, 2025

Advancements in artificial intelligence (AI), diverse sensor technology, and the collection and analysis of vast amounts of data offer opportunities for both realtime operations and traffic safety monitoring. However, disparate data sources, limited spatial and temporal resolution, and the limited adoption of data exchange protocols hinder comprehensive safety and mobility analysis and assessments. This project addresses these challenges through: developing a prototype database based on open standards for seamless integration of data from diverse sources; identifying and outlining stakeholders’ interests and needs for a future data space.