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Big data, AI and simulation

Evidence-based analyses for informed decision-making

A well-founded, evidence-based collection of data serves as the basis for simulating a wide range of scenarios that are either difficult or impossible to test directly in the real world. By using modern analysis methods, it enables us to precisely assess the potential impact on a wide range of relevant indicators - from environmental and economic aspects to social and infrastructural factors. We use this simulation-based analysis in MCube to make informed decisions and develop sustainable strategies for complex challenges.

Projects

We are creating a digital basis for comprehensively mapping mobility in the metropolitan region and testing the effectiveness and safety of future measures before they are introduced.

DatSim ensured the synergistic bundling of mobility data in the cluster, supported the evaluation of measures and enabled the simulation of relevant scenarios.

Become part of MCube

Are you interested in working with MCube?
Then please get in touch with us

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