The megatrends of networking, the automation and electrification of transportation, smart cities, and urbanisation converge in the consideration of the traffic routes available to all users and modes of transport.
A key factor in overcoming the technological and economic challenges associated with this topic is intelligently linked data containing references to time and place (referred to as 'Smart Big Geodata') and the algorithms that can derive new knowledge from these data. Geodata are crucial for the development of new mobility products and the upgrading of infrastructure to meet future challenges. In order to fully exploit their potential, they must be generated, processed and made available automatically.
The main objective of the German Aerospace Center's (Deutsches Zentrum für Luft- und Raumfahrt; DLR) cross-sectoral Digital Atlas project is to develop a geodata infrastructure that provides all relevant data for the development and management of future networked and automated traffic on the ground, on water and in the air. It also aims to develop and validate tool chains in order to process, analyse and evaluate these data, link them to other data and ensure they remain available for future projects.