our time. However, it is very difficult for many cities to take measures to accommodate today’s needs concerning e.g.
mobility, housing and work, because a consistent fine-granular data and information on causal chains is largely missing.
This has the potential to change, as today, both large-scale basic data as well as new promising measuring approaches are
The project “SmartAQnet”, funded by the German Federal Ministry of Transport and Digital Infrastructure (BMVI), is
based on a pragmatic, data driven approach, which for the first time combines existing data sets with a networked mobile
measurement strategy in the urban space. By connecting open data, such as weather data or development plans, remote
sensing of influencing factors, and new mobile measurement approaches, such as participatory sensing with low-cost
sensor technology, “scientific scouts” (autonomous, mobile smart dust measurement device that is auto-calibrated to a
high-quality reference instrument within an intelligent monitoring network) and demand-oriented measurements by
light-weight UAVs, a novel measuring and analysis concept is created within the model region of Augsburg, Germany.
In addition to novel analytics, a prototypical technology stack is planned which, through modern analytics methods and
Big Data and IoT technologies, enables application in a scalable way.