16 citations · 19 across the 3 of their papers we have counts for
4 papers
Modelling airborne transmission of SARS-CoV-2 at a local scale
Simon Rahn, Marion Gödel, Gerta Köster +1
The coronavirus disease (COVID-19) pandemic has changed our lives and still poses a challenge to science. Numerous studies have contributed to a better understanding of the pandemi…
Can we learn where people come from? Retracing of origins in merging situations
Marion Gödel, Luca Spataro, Gerta Köster
One crucial information for a pedestrian crowd simulation is the number of agents moving from an origin to a certain target. While this setup has a large impact on the simulation,…
Vadere: An open-source simulation framework to promote interdisciplinary understanding
Benedikt Kleinmeier, Benedikt Zönnchen, Marion Gödel +1
Pedestrian dynamics is an interdisciplinary field of research. Psychologists, sociologists, traffic engineers, physicists, mathematicians and computer scientists all strive to unde…
Can we learn where people go?
Marion Gödel, Gerta Köster, Daniel Lehmberg +3
In most agent-based simulators, pedestrians navigate from origins to destinations. Consequently, destinations are essential input parameters to the simulation. While many other rel…