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On the exploitation of GPS-based data for real-time visualisation of pedestrian dynamics in open environments., , and . Behav. Inf. Technol., 41 (8): 1709-1723 (2022)A Hybrid Deep Learning and Visualization Framework for Pushing Behavior Detection in Pedestrian Dynamics., , and . Sensors, 22 (11): 4040 (2022)Investigation of the capacity of train stations in case of a large-scale emergency evacuation., , and . SUMO, volume 62 of EPiC Series in Computing, page 68-77. EasyChair, (2019)Basic Driving Dynamics of Cyclists., , , and . SUMO, volume 8594 of Lecture Notes in Computer Science, page 18-32. Springer, (2014)The Automatic Generation of an Efficient Floor Field for CA Simulations in Crowd Management., , and . J. Cell. Autom., 15 (1-2): 3-15 (2020)Prediction of pedestrian dynamics in complex architectures with artificial neural networks., , , and . J. Intell. Transp. Syst., 24 (6): 556-568 (2020)Calculating ellipse overlap areas., and . Comput. Vis. Sci., 15 (5): 291-301 (2012)Efficient and validated simulation of crowds for an evacuation assistant., , , , and . Comput. Animat. Virtual Worlds, 23 (1): 3-15 (2012)A Cloud-Based Deep Learning Framework for Early Detection of Pushing at Crowded Event Entrances., , , , and . IEEE Access, (2023)A speed-based model for crowd simulation considering walking preferences., , , and . Commun. Nonlinear Sci. Numer. Simul., (2021)