368 citations · 672 across the 30 of their papers we have counts for
5 papers · 1 filter
A Novel Voronoi-based Convolutional Neural Network Framework for Pushing Person Detection in Crowd Videos
Ahmed Alia, Mohammed Maree, Mohcine Chraibi +1
Analyzing the microscopic dynamics of pushing behavior within crowds can offer valuable insights into crowd patterns and interactions. By identifying instances of pushing in crowd…
Single-file pedestrian dynamics: a review of agent-following models
Jakob Cordes, Mohcine Chraibi, Antoine Tordeux +1
Single-file dynamics has been studied intensively, both experimentally and theoretically. It shows interesting collective effects, such as stop-and-go waves, which are validation c…
Social distancing and the future of pedestrian dynamics
Mohcine Chraibi, Andreas Schadschneider, Antoine Tordeux
Many countries have introduced social distancing rules during the COVID-19 pandemic in order to reduce spreading of the virus in public spaces. This has inspired research on pedest…
Pedestrian Crowd Management Experiments: A Data Guidance Paper
Ann Katrin Boomers, Maik Boltes, Juliane Adrian +20
Understanding pedestrian dynamics and the interaction of pedestrians with their environment is crucial to the safe and comfortable design of pedestrian facilities. Experiments offe…
A Cloud-based Deep Learning Framework for Early Detection of Pushing at Crowded Event Entrances
Ahmed Alia, Mohammed Maree, Mohcine Chraibi +2
Crowding at the entrances of large events may lead to critical and life-threatening situations, particularly when people start pushing each other to reach the event faster. Automat…