Mohcine Chraibi
- Germany
About Mohcine Chraibi
My research centers on the interdisciplinary study of collective dynamics in self-driven particles, with a particular focus on pedestrian dynamics. My expertise includes developing and validating models for pedestrian movement, such as space-continuous force-based and velocity-based models, cellular automata, and data-driven approaches using neural networks and deep learning. I am also actively involved in creating research software and tools for data analysis, contributing to the field’s advancement through both theoretical and applied insights into fundamental diagrams, including density-velocity and density-flow relations in pedestrian movement.
Since March 2017, I have led the Pedestrian Dynamics-Modelling Division at the Civil Safety Research Institute, Forschungszentrum Jülich.
