Zobrazeno 1 - 10
of 168
pro vyhledávání: '"TORDEUX, ANTOINE"'
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
Autor:
Ehrhardt, Matthias, Tordeux, Antoine
Stop-and-go waves in road traffic are complex collective phenomena with significant implications for traffic engineering, safety and the environment. Despite decades of research, understanding and controlling these dynamics remains challenging. This
Externí odkaz:
http://arxiv.org/abs/2408.07549
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
Redundant architectures can improve the reliability of complex systems. However, component dependencies can affect the architecture and negate the benefit of redundancy. In this paper, we develop three component dependency models and analyze the reli
Externí odkaz:
http://arxiv.org/abs/2402.18187
This study revisits a recently proposed symmetric port-Hamiltonian single-file model in one dimension. The uniform streaming solutions are stable in the deterministic model. However, the introduction of white noise into the dynamics causes the model
Externí odkaz:
http://arxiv.org/abs/2401.17954
We give an overview of time-continuous pedestrian models with a focus on data-driven modelling. Starting from pioneer, reactive force-based models we move forward to modern, active pedestrian models with sophisticated collision-avoidance and anticipa
Externí odkaz:
http://arxiv.org/abs/2308.07450
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
Predicting human trajectories is a challenging task due to the complexity of pedestrian behavior, which is influenced by external factors such as the scene's topology and interactions with other pedestrians. A special challenge arises from the depend
Externí odkaz:
http://arxiv.org/abs/2307.15442
The collective motion of self-driven agents is a phenomenon of great interest in interacting particle systems. In this paper, we develop and analyze a model of agent motion in one dimension with periodic boundaries using a stochastic port-Hamiltonian
Externí odkaz:
http://arxiv.org/abs/2303.14735