Pedestrian and evacuation dynamics
The topics are about modeling pedestrian movement in two dimensions using physics-based models (differential systems) and pedestrian trajectory prediction in crowded situations by deep learning approaches (artificial neural networks). The focuses are on self-organization and collective behaviors, experiment-based modeling, evacuation dynamics, or large-scale simulation.
In fine, the objectives are to develop simulation tools for building architecture, urban infrastructure, or large events and mass gatherings evaluation under different regulation strategies.
NetLogo pedestrian simulation modules
Reviews on pedestrian dynamics
M. Boltes, J. Zhang, A. Tordeux, A. Schadschneider and A. Seyfried, Empirical results of pedestrian and evacuation dynamics, Encyclopedia of Complexity and Systems Science, vol. 16, pp. 1-29, 2018. Springer Berlin, Germany.
M. Chraibi, A. Tordeux, A. Schadschneider and A. Seyfried, Modelling of pedestrian and evacuation dynamics, Encyclopedia of Complexity and Systems Science, pp. 1-22, 2018. Springer Heidelberg.
A. Schadschneider, M. Chraibi, A. Seyfried, A. Tordeux and J. Zhang, Pedestrian dynamics: From empirical results to modeling, in Crowd Dynamics, Volume 1, Springer, 2018, pp. 63-102.