IT-Dimensions of Swarm-based Measurement of Particulate Matter

Observation and assessment of air quality is not only a growing field of scientific research, but is also increasingly becoming the focus of public interest. Political interventions have succeeded in improving air quality not only in Germany, but also in many other countries, since the turn of the millennium. For this purpose, stricter requirements have been issued on limit values for household and traffic-related emissions. Due to technological progress, exhaust emissions could be reduced. As a result, other emission sources are now coming to the fore. These include particulate emissions from tire abrasion and vehicle brakes. The monitoring of the limit values for particulate matter pollution is carried out throughout Europe by means of scattered, highly precise but also very expensive measuring stations. Furthermore, these measuring stations generally only provide hourly to daily average values. Due to the low spatial and temporal resolution, only one statement about the success of all measures can be made. Individual causes and actions cannot be considered separately. For the investigation of individual events, for example braking and starting before a traffic light, a finer temporal and spatial resolution of the fine dust measurement is required. In this work, a consideration of necessary information-technical measures for the creation of a swarm structure for the measurement of fine dust emissions takes place. This enables the finer resolution of individual emission events as required above. Furthermore, it offers the possibility to investigate dynamics and effects which could not be detected by single sensors only.