MCube DatSim 2.0 | Digital Mobility Twin Munich
Project Description
MCube DatSim 2.0 is aims to create a highly detailed digital mobility twin for an inner-city area in Munich. By combining rich data—from traffic demand, traffic counts to highly detailed geospatial data —with advanced simulations, it allows new mobility measures to be tested virtually before they’re put into action. This is applied to two use-cases: Investigate how changes to the transport system affect emergency response routes, and understand the impact of urban mobility on air quality. We will combine real-time measurements of pollutants with detailed traffic simulations, to identify solutions that reduce emissions, improve urban air, and make Munich a healthier place to live.
Role of ESM
The main objective of our professorship in this project is to model air pollutants. Our high-resolution emissions inventory for the city will be combined with a traffic emissions inventory for the city center based on a microscopic traffic simulation. We will combine this with a microscale dispersion model to accurately model air quality hotspots in the simulation area. Finally, we will use a network of commercial and self-developed air pollutant and carbon dioxide sensors to validate and optimize the air quality modeling chain.
Project Details
Funder
DatSim 2.0 is funded by Germany’s Federal Ministry of Research, Technology and Space, under the "Clusters4Future" initiative.
Runtime
The project runs from November 2024 until October 2027.
Project Partners
The consortium includes a mix of academic, corporate, and municipal stakeholders:
