Smart data on mobility patterns in Munich

The city of Munich, with 1.5 million inhabitants, faces environmental challenges and congestion due to growing numbers of inhabitants and private vehicles causing an increase in CO2 emissions. Around 400,000 commuters travel into Munich from the surrounding areas every day. To adapt to passengers’ needs and promote environmentally friendly transport, it is crucial to know how passengers use transport, both public and private. There is limited data available from counting devices installed in some public transport vehicles, and no evaluation whatsoever of other forms of transport.

Transcality digitises infrastructure systems into digital transportation twins for operations and planning. The solution can be used for scenario management, forecasting of traffic flows, visualisation of historical, current and predicted traffic conditions.

As part of the project:

• a digital twin will be developed and deployed as a multi-modal simulation model of Munich;

• historical passenger count data and the existing static macroscopic model of Munich’s public transportation operator (MVG) will be analysed and a more detailed mesoscopic model will be created and calibrated, ensuring seamless integration of the models’ output into the existing input/output flow;

• the solution will provide deep insights into people’s use of transport in Munich, including numbers of commuters, peak travel times, and preferred modes of transport.