Fit for the transformation of traffic in Munich with MUCmoves

An interdisciplinary team of computer science and business administration students at Munich University of Applied Sciences has developed a digital platform that bundles traffic data from different sources in one place and allows Munich’s traffic planners to base projects on the traffic turnaround on reliable and high-quality mobility data.

Students present MUCmoves to the client and other stakeholders at the final event.

Planning transportation projects requires one thing above all else: lots of data. It should be complete and reliable and, if possible, cover all modes of transport. A reliable data basis is indispensable, especially for a project of the century such as the transformation of the transport system.

No transformation of traffic without data

“We are shaping the traffic turnaround for a sustainable, livable future” – this is the vision of the Munich Mobility Department. But this is precisely where the unit, which was founded in January 2021, faces a problem: The traffic planners lack reliable data on stationary and flowing traffic on which to base their projects. The data they have collected themselves from sensors, video recordings and manual counts is not sufficient – relying on assumptions and extrapolations is too risky for a project as large and important as the traffic turnaround.

As part of the project course “D3I-DB.3 Project Study: Digital Technologies” / “M1.5o & M4.13o Project Study” / “Software Architecture” at the Munich University of Applied Sciences, Mr. Attila Lüttmerding, Head of Department “Basis and Data” in the “Strategy” area of the Mobility Department, commissioned the twelve-member team of computer science and business administration students to improve the data situation on flowing traffic in Munich. The project took place in cooperation with the Co-Innovation Lab and the Digital Innovation Lab of Munich University of Applied Sciences.

MUCmoves – All of Munich’s traffic data in one place

MUCmoves, the students’ digital solution, is able to collect and standardize traffic data from a wide variety of sources in a central database. A filter function allows the user to select the location, time, date and mode of transport so that the traffic planners can display the traffic data relevant to them. Depending on preference, the data is visualized as a line, bar or radar chart and as a simple table. For further internal processing, the traffic data can be downloaded both as a table and as raw data.

Companies or individuals who want to make traffic data available can upload it to MUCmoves and thus increase the platform’s database. Since the mobility department can assign access rights for this, it is ensured that only reliable data sources are fed in.

Retrieve traffic data quickly, easily and securely

Thanks to MUCmoves’ central database, transportation planners now have the ability to more quickly retrieve data from different sources and compare it in one collected location. “It is a benefit that all data is collected in one place and no longer has to be looked up in several folders. Especially the data from the pedestrian zones will be helpful for our area,” Tobias Steurer from the mobility department praised the prototype at the final event.


This Co-Innovation Lab project was carried out in cooperation with the Digital Transformation Lab (DTLab) at Munich University of Applied Sciences:
The Digital Transformation Lab (DTLab) at Munich University of Applied Sciences is dedicated to the major social challenges of our time. Together with stakeholders in the public sector, students develop forward-looking solutions. They are supported by Amazon Web Services with state-of-the-art cloud technologies and the Working Backwards innovation methodology. We live digital transformation.

More information about the Co-Innovation Lab and the Digital Transformation Lab (DTLab) at Munich University of Applied Sciences:

Using BEMS to calculate CO₂ equivalents generated by air travel

Students from the Co-Innovation Lab develop software for the Bavarian State Agency for Energy and Climate Protection (LENK). The Bavarian Emission Measurement System (BEMS) records air travel by the immediate state administration and automatically calculates the CO₂ equivalents generated. BEMS thus creates the prerequisite for subsequent offsetting of air travel.

The core result of the project: an intuitive input mask for air travel that automatically calculates CO2 equivalents generated (project team’s own presentation).

Climate protection has arrived in the everyday life of the immediate state administration

The State Agency for Energy and Climate Protection (LENK) is currently implementing a Council of Ministers resolution under which the CO₂ equivalents generated by official air travel by the immediate state administration must be offset from 2020. The initiative is part of the implementation of the Bavarian Climate Protection Act, under which Bavaria is to be climate-neutral by 2040.

Complicated processes complicate LENK’s work – cooperation with the Co-Innovation Lab helps

In the absence of an automated recording tool, LENK decided to use standardized Excel spreadsheets to query the individual departments for air travel data, which it then compiles in LENK and calculates the kilometers flown and the emissions incurred. Since this process cannot be a permanent solution, LENK entered into cooperation with the Co-Innovation Lab at Munich University of Applied Sciences. As part of the project, the eleven-member team of business administration and computer science students worked closely with their coaches from the Co-Innovation Lab, lecturers and contact persons at LENK.

Co-Innovation Lab develops intuitive web application for flight data collection

The Bavarian Emission Measurement System (BEMS) facilitates flight input for employees of the immediate state administration through an intuitive interface and step-by-step guidance through the input process. A control function prevents input errors from occurring. The export and import function, which makes it possible to save several flights in the system at once, also makes work easier. A clear dashboard facilitates data evaluation for the individual departments and LENK. For LENK, the software forms the basis for subsequent compensation by recording air travel nationwide and automatically calculating the CO₂ equivalents generated.

The state agency for energy and climate protection is convinced of the result

The successful implementation of the project attracted a great deal of attention. The final presentation was attended not only by people from Bavarian authorities, but also from Hesse, North Rhine-Westphalia and from the coordination office for the Climate Neutral Federal Authority at the Federal Ministry for the Environment, Nature Conservation and Nuclear Safety.

The contact persons at LENK summarize: “Since the students discussed the progress of the tool with us every two weeks, we were able to express wishes and point out open points during the development. Everyone was very committed to the project, and the result is impressive: BEMS simplifies the entry of data for the responsible travel offices at the authorities, the flight kilometers are determined on the basis of the great circle distances between the airports entered, and the greenhouse gas emissions generated are calculated automatically. It thus fulfills all the requirements we had set for the recording and balancing tool from a technical point of view.”

Virtual team meeting: The project team Muhammet Gündeydi, Robin Roth, Elena Laufs, Tamara Camelo-Hintsche, Aleksandar Culafic, Lino Deppe, Markus Laubsch, Muharram Davlatova, Bryan J. Liegsalz, Pascal Severin, Tobias Finsterwalder

This Co-Innovation Lab project was carried out in cooperation with the Digital Transformation Lab (DTLab) at Munich University of Applied Sciences:
The Digital Transformation Lab (DTLab) at Munich University of Applied Sciences is dedicated to the major social challenges of our time. Together with stakeholders in the public sector, students develop forward-looking solutions. They are supported by Amazon Web Services with state-of-the-art cloud technologies and the Working Backwards innovation methodology. We live digital transformation.

More information about the Co-Innovation Lab and the Digital Transformation Lab (DTLab) at Munich University of Applied Sciences: