[DFG/ANR project MADRAS]
Multi-agent modelling of dense crowd dynamics:
Predict & Understand
PED2021 Conference
11/30/2021
Project members contributed to the PED2021 Conference on 28, 29 and 30 November 2021 (online):
- Comparing Deep Learning and Knowledge-based Approaches to Predict Pedestrian Trajectories (Raphael Korbmacher, Antoine Tordeux; slides)
- Pedestrian Models based on Time-to-Collision (Jakob Cordes; slides)
- Initiating Lane and Band Formation in Heterogeneous Pedestrian Dynamics (Antoine Tordeux, Basma Khelfa, Andreas Schadschneider; slides)