6 papers · 1 filter
Monitoring physical distancing for crowd management: real-time trajectory and group analysis
Caspar A. S. Pouw, Federico Toschi, Frank van Schadewijk +1
Physical distancing, as a measure to contain the spreading of Covid-19, is defining a "new normal". Unless belonging to a family, pedestrians in shared spaces are asked to observe…
Pedestrian orientation dynamics from high-fidelity measurements
Joris Willems, Alessandro Corbetta, Vlado Menkovski +1
We investigate in real-life conditions and with very high accuracy the dynamics of body rotation, or yawing, of walking pedestrians - an highly complex task due to the wide variety…
High-statistics modeling of complex pedestrian avoidance scenarios
Alessandro Corbetta, Lars Schilders, Federico Toschi
Quantitatively modeling the trajectories and behavior of pedestrians walking in crowds is an outstanding fundamental challenge deeply connected with the physics of flowing active m…
Physics-based modeling and data representation of pedestrian pairwise interactions
Alessandro Corbetta, Jasper Meeusen, Chung-min Lee +2
The possibility to understand and to quantitatively model the physics of the interactions between pedestrians walking in crowds has compelling relevant applications, e.g. related t…
A large-scale real-life crowd steering experiment via arrow-like stimuli
Alessandro Corbetta, Werner Kroneman, Maurice Donners +9
We introduce "Moving Light": an unprecedented real-life crowd steering experiment that involved about 140.000 participants among the visitors of the Glow 2017 Light Festival (Eindh…
Path-integral representation of diluted pedestrian dynamics
Alessandro Corbetta, Federico Toschi
We frame the issue of pedestrian dynamics modeling in terms of path-integrals, a formalism originally introduced in quantum mechanics to account for the behavior of quantum particl…