Foule | EPFL Graph Search

thumb|300px|The Porteous Mob, James Drummond, 1855 thumb|300px|Une foule attendant le métro. thumb|300px|Foule dans un rue de Hong Kong. 300px|right|thumb|Une foule à un carrefour à Tokyo thumb|right|250px|Mortalité due à des mouvements de foule en panique à Chongqing le 5 juin 1941 ; lors d'un bombardement japonais, furent étouffées ou piétinées alors qu'elles cherchaient à rejoindre les abris. thumb|right|300px|Foule lors de Das Fest à Karlsruhe. La foule est un rassemblement de personnes dans un même lieu. Attributs Psychologie des foules (psychologie) La foule partage avec le groupe l'idée de proximité géographique et de quantité de personnes, mais possède en plus les attributs suivants :

conscience collective : les pensées et actions de chaque membre d'une foule sont toutes orientées vers le même but ;
rationalité : le niveau global de rationalité d'une foule est généralement considéré inférieur à celui des agents qui la composent.

Ainsi la foule se distingue d

Pedestrian Destinations in Paléo Music Festival from Bluetooth Traces

Elisaveta Kondratieva

Can we guess the destinations of attendees in a music festival from Bluetooth traces collected by 10 people with smartphones used as antennas? This project analyzes an existing dataset of Bluetooth traces from Paléo music festival in Nyon, Switzerland. The goal of the project is to follow Paléo festival attendees using collected Bluetooth traces and analyze specifications of the collected data in terms of precision and results, to predict attendees behaviour and crowd movement. The data was collected on July 24th, 2010 by ten agents scanning for visible Bluetooth devices. The methodology for tracing Paléo festival attendees is a Bayesian approach derived by Danalet et al. [2012].

2013

Robots' Motion Planning in Human Crowds by Acceleration Obstacles

Aude Billard, David Julian Gonon, Diego Felipe Paez Granados

We study the Acceleration Obstacle (AO) as a concept to enable a robot's navigation in human crowds. The AO's geometric properties are analyzed and a direct sampling-free algorithm is proposed to approximate its boundary by linear constraints. The resulting controller is formulated as a quadratic program and evaluated in interaction with simulated bi-directional crowd flow in a corridor. We compare it to alternative robotic controllers, considering the robot's and the crowd's performance and the robot's behavior with respect to emergent lanes. Our results indicate that the robot can achieve higher efficiency when being less integrated in lanes.

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Crowds for interactive virtual environments

Branislav Ulicny

Crowds are part of our everyday experience; nevertheless, in virtual worlds they are still relatively rare. In this thesis we explore the challenges of bringing crowds into interactive virtual environments and the possible applications of real-time interactive crowds, for example, in the domains of virtual heritage and training systems. We address several topics including real-time generation of higher-level behaviors, lower-level motion control for many characters, management of variety, integration of crowds into virtual environments, interaction with virtual crowds and authoring of scenarios. In comparison with the other crowd modeling approaches, we focus on more complex behaviors of many agents in dynamic environments with possible user interaction. In our system a crowd is modeled as a collection of individuals which react to the environment, to other agents and to real human participants of the simulation and can have very different behaviors, both for one agent in different situations, and for many agents in the same situation. We emphasize the importance of variety as one of the most distinguishing features of the crowd simulations; we introduce the notion of levels-of-variety. We address as well the question of how to author crowd scenes in an efficient way. We introduce a novel approach to create complex scenes involving thousands of animated individuals in a simple and intuitive way. By employing a brush metaphor, analogous to the tools used in image manipulation programs, we can distribute, modify and control crowd members in real-time with immediate visual feedback. We demonstrate the validity of our behavior simulation approach with several case studies, where we use our crowd system to manage crowd behaviour in a virtual reality training system and virtual heritage reconstruction. The potential of our authoring approach is shown by authoring a scenario of a virtual audience in a theater and a scenario of a pedestrian crowd in a city.

EPFL2005

Crowds for interactive virtual environments

Branislav Ulicny

EPFL2005