Our research in the field of fire dynamics covers bench scale experiments, development of new numerical methods and large-scale simulations on HPC systems.
Controlled experiments allow the quantitative description of pedestrian dynamics and enable the analysis of selected parameters under well-defined constant conditions. Data of these experiments is collected and analyzed by appropriately selected sensors and self-developed software.
Our research is guided by the following research question: How can we understand the properties of a crowd and predict its dynamics in closed and open spaces? This question is addressed through a research design that weaves together three streams: development of operative models, investigation of route choice models, and software engineering. In this way, our division aims for interdisciplinary research.
Our division studies the experience of being in a crowd and the influence of social psychological parameters on pedestrian dynamics. We follow a multimethod approach using quantitative as well as qualitative methods to investigate various socio-psychological mechanisms in crowds, such as social influence, emotion, or social norms. Our data include questionnaire ratings, physio-psychological data (e.g. heart rate, skin conductance level) and interview transcripts obtained through experiments, field studies and interviews.