Zobrazeno 1 - 10
of 2 297
pro vyhledávání: '"A. Chraibi"'
Autor:
Dufour, Oscar, Dang, Huu-Tu, Cordes, Jakob, Korbmacher, Raphael, Benoit, Gaudou, Chraibi, Mohcine, Nicolas, Alexandre, Tordeux, Antoine
We present one of the first comprehensive field datasets capturing dense pedestrian dynamics across multiple scales, ranging from macroscopic crowd flows over distances of several hundred meters to microscopic individual trajectories, including appro
Externí odkaz:
http://arxiv.org/abs/2410.05288
Publikováno v:
Optimization Methods and Software, 2024, pp.1-17. \&\#x27E8;10.1080/10556788.2023.2278089\&\#x27E9
Many problems in machine learning write as the minimization of a sum of individual loss functions over the training examples. These functions are usually differentiable but, in some cases, their gradients are not Lipschitz continuous, which compromis
Externí odkaz:
http://arxiv.org/abs/2404.17190
This paper offers a comprehensive examination of single-file experiments within the field of pedestrian dynamics, providing a thorough review from both theoretical and analytical perspectives. It begins by tracing the historical context of single-fil
Externí odkaz:
http://arxiv.org/abs/2404.11937
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 videos, a deeper understanding of when, where, and why such behavior o
Externí odkaz:
http://arxiv.org/abs/2310.07416
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 cornerstones for any agent-based modeling approach of traffic systems.
Externí odkaz:
http://arxiv.org/abs/2308.07451
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 pedestrian dynamics in more ways than just one. Many studies have been perfo
Externí odkaz:
http://arxiv.org/abs/2308.06065
Autor:
Boomers, Ann Katrin, Boltes, Maik, Adrian, Juliane, Beermann, Mira, Chraibi, Mohcine, Feldmann, Sina, Fiedrich, Frank, Frings, Niklas, Graf, Arne, Kandler, Alica, Kilic, Deniz, Konya, Krisztina, Küpper, Mira, Lotter, Andreas, Lügering, Helena, Müller, Francesca, Paetzke, Sarah, Raytarowski, Anna-Katharina, Sablik, Olga, Schrödter, Tobias, Seyfried, Armin, Sieben, Anna, Üsten, Ezel
Understanding pedestrian dynamics and the interaction of pedestrians with their environment is crucial to the safe and comfortable design of pedestrian facilities. Experiments offer the opportunity to explore the influence of individual factors. In t
Externí odkaz:
http://arxiv.org/abs/2303.02319
Publikováno v:
2023, IEEE Access
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. Automatic and timely identification of pushing behavior would help organizers
Externí odkaz:
http://arxiv.org/abs/2302.08237
Autor:
Ben Addou Idrissi Sara, Himmich Mohammed, Moutei Hassan, Bennis Ahmed, Chraibi Fouad, Abdellaoui Meriem, Benatiya Andaloussi Idriss
Publikováno v:
SAGE Open Medical Case Reports, Vol 12 (2024)
The patient, a 30-year-old woman, presented with a sudden, painless, and severe decrease in vision in both eyes. The ophthalmological examination revealed a normal anterior segment and intraocular pressure, but a fundus examination showed bilateral m
Externí odkaz:
https://doaj.org/article/296aa25c23c54923b15a3582f165d109
Adaptive importance sampling based on fault tree analysis for piecewise deterministic Markov process
Piecewise deterministic Markov processes (PDMPs) can be used to model complex dynamical industrial systems. The counterpart of this modeling capability is their simulation cost, which makes reliability assessment untractable with standard Monte Carlo
Externí odkaz:
http://arxiv.org/abs/2210.16185