FZI Live

Introductory remarks by Marie Simon from TRIANGEL Transfer | Culture | Space

• PaxFlow Monitor – Frequency measurement in the real-world laboratory of the city center (Nathalie Alischer, Fraunhofer IAO)
  The PaxFlow Monitor system, developed as part of the Urban Innovation Hub Heilbronn, enables the implementation of inner-city people counting with cost-effective hardware. The real-time data obtained supports research, city administration, retail, and gastronomy in the implementation of smart city solutions. Measuring particulate matter while cycling (Felix Hörner, CycleSense). In the CycleSense citizen science project, volunteers ride through Karlsruhe with small particulate matter measurement modules attached to their bicycle handlebars. Felix Hörner from the project team explains what data is collected and how it can be used.
• Calculating individual fine dust exposure based on public bike-sharing data (Thomas Mayer, FZI Research Center for Information Technology)
  The GOFFI project developed a smartphone app that determines the fine dust exposure of cyclists based on their individual breathing volume and the location- and time-dependent fine dust concentration in the air they breathe. In addition to the recorded routes of test subjects, an extensive dataset of routes traveled was also created from publicly available bike-sharing data from Munich for testing purposes.
  

A short break to relax and network.

• MobilKULT: What surveys tell us about mobility and political acceptance (Dr. Josephine Tröger, Fraunhofer ISI)
  MobilKULT uses survey data to analyze how people in Baden-Württemberg and Mecklenburg-Western Pomerania get around and what their attitudes are toward mobility issues and political measures. The presentation highlights the insights that traditional survey formats can still provide today, how they can be explicitly used for the further development of mobility strategies, and develops ideas for interaction with other data sources.
• Mobility in the context of social relationships – a relational approach to spatial behavior (Dr. Maike Puhe, KIT ITAS, Institute for Technology Assessment and Systems Analysis)
  In empirical mobility research, spatial behavior and choice of transport mode are often recorded in relation to activities such as shopping, working, or leisure activities. However, these categories provide only limited insights into the social contexts that shape a person’s everyday life. The survey approach presented focuses on people’s social relationships – with other individuals, clubs, shops, or other locations – and uses this as a basis for analyzing the respondents’ choices of destination and mode of transportation. The presentation introduces the design and methodological considerations, aiming to understand mobility not only as functional movement but also as an embedded social event. Dakimo – AI-based forecasting of shared vehicles (Bastian Leferink, raumobil GmbH). Dakimo integrates AI-supported forecasts for shared vehicles into intermodal real-time route planning. Although shared mobility services, such as bike sharing, are widespread, their dynamic nature—which is influenced by user behavior, weather, and events—makes reliable planning challenging. Dakimo addresses this problem with a prediction model that forecasts bicycle availability based on historical usage data, weather forecasts, and local event calendars.
  

A short break to relax and network.

• Exploring the AI-based Prediction of User Journeys with Matomo (José Antonio Peregrina, Hochschule Karlsruhe)
  Matomo data provides information about how users travel through an app, known as user journeys. This journey can be represented as the path travelled in a graph representing the topology of the application. With this idea in mind, we explore the application of Graph Neural Networks for path extrapolation based on the user journeys from Matomo
• SynthiClick – Anonymization and Synthesis of Click Paths and Behavior on the Web (Prof. Dr. Thorsten Strufe, KIT KASTEL, Institut für Informationssicherheit und Verlässlichkeit)

More data sharing and data use – what does that mean in practice?

The political goal of strengthening data sharing and data use must be consistent with data protection rules in practice. What opportunities does anonymization offer for the sharing and use of mobility data?

Discussing the issue:

• Reinhard Otter (MobiData BW)
• Maria Rill (FZI Research Center for Information Technology)
• Prof. Dr. Thorsten Strufe (KIT KASTEL, Institute for Information Security and Reliability)

A pleasant setting for further discussion with pretzels, cold drinks, and punch.

Impulse from Markus Beckedahl and discussion