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.
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: