KoFeMo – Combined investigation of particulate matter & mobility
KoFeMo – Combined investigation of particulate matter & mobility
The project KoFeMo analyses particulate matter pollution in cities using digital methods. Traffic and weather are taken into account in order to accurately record and predict emissions in real time.
Air quality is becoming increasingly important in urban areas. Motor vehicles, whose emissions come from exhaust fumes, brake wear and tyre wear, contribute significantly to particulate matter (PM) pollution. In addition to traffic volume, environmental factors such as wind, temperature stratification and precipitation influence PM concentrations.
In order to improve air quality in a targeted manner, there is a growing need for digital methods to precisely record and predict PM pollution in real time - taking traffic data and weather conditions into account. The overarching aim of the project KoFeMo is to analyse the distribution of particulate matter in a sample urban district at high resolution and to investigate the interactions between traffic and the environment.
The German Aerospace Center (DLR) focuses on the detailed recording and analysis of vehicle accelerations and decelerations, which are then modelled in a traffic flow simulation. This makes it possible to derive forecasts for other areas, specific traffic situations or different vehicle fleets.
Core activities of the project include
temporal and spatial modelling of PM variability,
identification and analysis of relevant emission sources based on detailed traffic flow data, and
investigation of meteorological influences on PM concentrations.
High-precision numerical and data-driven methods are used to model, analyse and predict PM dynamics. These approaches provide a sound foundation for sustainable measures to improve air quality in cities.
