109 citations · 753 across the 38 of their papers we have counts for
41 papers
Towards modelling abreast to in-file transitions in small pedestrian groups
Alessandro Corbetta, Chiel van der Laan, Francesco Zanlungo
Pedestrians in a crowd largely walk in small groups, dyads above all, and modelling how these groups arrange themselves is a step towards realistic models of the crowd as a whole.…
Adjusting for Social Groups in Spatial Point Process Models for Waiting Pedestrian Configurations
Lars Sickert Karam, Rui M. Castro, Maarten Schoukens +1
The spatial distribution of waiting pedestrians has two primary drivers: environmental preference and interaction with other pedestrians. Spatial point processes naturally capture…
Modeling inhomogeneous spatial point configurations with applications to replicated patterns in real-life waiting crowds
Lars Sickert Karam, Rui M. Castro, Maarten Schoukens +1
In this article, we connect statistical inference for spatial point processes with the analysis of waiting pedestrian crowds through two interconnected contributions. First, on the…
The multi-fractal nature of pedestrian arrival times
Caspar A. S. Pouw, Alessandro Corbetta, Alessandro Gabbana +1
Pedestrian arrival times exhibit complex temporal organization across multiple scales, shaped by working hours, transportation schedules, and collective behaviors - features often…
Probabilistic dynamics of small groups in crowd flows
Chiel van der Laan, Alessandro Corbetta
Pedestrians in crowds frequently move as part of small groups, constituting up to 70% of individuals. Dyads (groups of two) are most frequent. Understanding quantitatively the dyna…
Understanding complex crowd dynamics with generative neural simulators
Koen Minartz, Fleur Hendriks, Simon Martinus Koop +2
Understanding the dynamics of pedestrian crowds is an outstanding challenge crucial for designing efficient urban infrastructure and ensuring safe crowd management. To this end, bo…
Data-driven physics-based modeling of pedestrian dynamics
Caspar A. S. Pouw, Geert G. M. van der Vleuten, Alessandro Corbetta +1
Pedestrian crowds encompass a complex interplay of intentional movements aimed at reaching specific destinations, fluctuations due to personal and interpersonal variability, and in…
Enhancing lattice kinetic schemes for fluid dynamics with Lattice-Equivariant Neural Networks
Giulio Ortali, Alessandro Gabbana, Imre Atmodimedjo +1
We present a new class of equivariant neural networks, hereby dubbed Lattice-Equivariant Neural Networks (LENNs), designed to satisfy local symmetries of a lattice structure. Our a…
Extreme statistics and extreme events in dynamical models of turbulence
Xander M. de Wit, Giulio Ortali, Alessandro Corbetta +3
We present a study of the intermittent properties of a shell model of turbulence with unprecedented statistics, about eddy turn over time, achieved thanks to an impleme…
The Influence of Macroscopic Pedestrian Structures on Train Boarding Efficiency
Rabia I. Kodapanakkal, Caspar A. S. Pouw, Antal Haans +6
A deeper understanding of pedestrian dynamics is essential to improve crowd flows in public spaces such as train stations. It is essential to understand both the physical and the p…
How crowd accidents are reported in the news media: Lexical and sentiment analysis
Claudio Feliciani, Alessandro Corbetta, Milad Haghani +1
The portrayal of crowd accidents by the media can influence public understanding and emotional response, shaping societal perceptions and potentially impacting safety measures and…
High-statistics pedestrian dynamics on stairways and their probabilistic fundamental diagrams
Caspar A. S. Pouw, Alessandro Corbetta, Alessandro Gabbana +2
Staircases play an essential role in crowd dynamics, allowing pedestrians to flow across large multi-level public facilities such as transportation hubs, and office buildings. Achi…
Stochastic fluctuations of diluted pedestrian dynamics along curved paths
Geert G. M. van der Vleuten, Federico Toschi, Wil H. A. Schilders +1
As we walk towards our destinations, our trajectories are constantly influenced by the presence of obstacles and infrastructural elements: even in absence of crowding our paths are…
How neural networks learn to classify chaotic time series
Alessandro Corbetta, Thomas Geert de Jong
Neural networks are increasingly employed to model, analyze and control non-linear dynamical systems ranging from physics to biology. Owing to their universal approximation capabil…
Towards learning Lattice Boltzmann collision operators
Alessandro Corbetta, Alessandro Gabbana, Vitaliy Gyrya +3
In this work we explore the possibility of learning from data collision operators for the Lattice Boltzmann Method using a deep learning approach. We compare a hierarchy of designs…
Steering self-organisation through confinement
Nuno A. M. Araújo, Liesbeth M. C. Janssen, Thomas Barois +26
Self-organisation is the spontaneous emergence of spatio-temporal structures and patterns from the interaction of smaller individual units. Examples are found across many scales in…
A Numerical Proof of Shell Model Turbulence Closure
Giulio Ortali, Alessandro Corbetta, Gianluigi Rozza +1
The development of turbulence closure models, parametrizing the influence of small non-resolved scales on the dynamics of large resolved ones, is an outstanding theoretical challen…
Fluctuations in pedestrian dynamics routing choices
Alessandro Gabbana, Federico Toschi, Philip Ross +2
Routing choices of walking pedestrians in geometrically complex environments are regulated by the interplay of a multitude of factors such as local crowding, (estimated) time to de…
Benchmarking high-fidelity pedestrian tracking systems for research, real-time monitoring and crowd control
Caspar A. S. Pouw, Joris Willems, Frank van Schadewijk +3
High-fidelity pedestrian tracking in real-life conditions has been an important tool in fundamental crowd dynamics research allowing to quantify statistics of relevant observables…
RSSi-based visitor tracking in museums via cascaded AI classifiers and coloured graph representations
Elia Onofri, Alessandro Corbetta
Individual tracking of museum visitors based on portable radio beacons, an asset for behavioural analyses and comfort/performance improvements, is seeing increasing diffusion. Conc…
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…
Managing Crowded Museums: Visitors Flow Measurement, Analysis, Modeling, and Optimization
Pietro Centorrino, Alessandro Corbetta, Emiliano Cristiani +1
We present an all-around study of the visitors flow in crowded museums: a combination of Lagrangian field measurements and statistical analyses enable us to create stochastic digit…
Controlling Rayleigh-Bénard convection via Reinforcement Learning
Gerben Beintema, Alessandro Corbetta, Luca Biferale +1
Thermal convection is ubiquitous in nature as well as in many industrial applications. The identification of effective control strategies to, e.g., suppress or enhance the convecti…
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…