We present a numerical framework to simulate pedestrian dynamics in highly competitive conditions by means of a force-based model implemented with spherocylindrical particles instead of the traditional, symmetric disks. This modification of the individuals' shape allows one to naturally reproduce recent experimental findings of room evacuations through narrow doors in situations where the contact pressure among the pedestrians was rather large. In particular, we obtain a power-law tail distribution of the time lapses between the passage of consecutive individuals. In addition, we show that this improvement leads to new features where the particles' rotation acquires great significance
The Social Force Model has been widely used to simulate pedestrian dynamics. Its simplicity and abil...
Force-based models describe the interactions of pedestrians in terms of physical and social forces. ...
Pedestrian crowds often have been modeled as many-particle system including microscopic multi-agent ...
We present a numerical framework to simulate pedestrian dynamics in highly competitive conditions by...
Following the paradigm set by attraction-repulsion-alignment schemes, a myriad of individual-based m...
International audienceDense granular flows through constrictions, as well as competitive pedestrian ...
Abstract. Numerical simulation of human crowds is a challenging task and a number of models to simul...
When a sizable number of people evacuate a room, if the door is not large enough, an accumulation of...
We use particle-based simulations to examine the flow of particles through an exit. Simulations invo...
In this article, we present a microscopic-discrete mathematical model describing crowd dynamics in ...
The research of pedestrian evacuation dynamics is of significance to understanding and preventing hu...
Complex bodies, as crowds of pedestrian can present Strong Velocity and Density fluctuations. The pe...
The modeling of human behavior is a significant approach to reproduce realistic pedestrian...
International audienceThe non-smooth view of Michel Frfiemond has already been proven successful in ...
International audienceWe propose a hierarchy of kinetic and macroscopic models for a system consisti...
The Social Force Model has been widely used to simulate pedestrian dynamics. Its simplicity and abil...
Force-based models describe the interactions of pedestrians in terms of physical and social forces. ...
Pedestrian crowds often have been modeled as many-particle system including microscopic multi-agent ...
We present a numerical framework to simulate pedestrian dynamics in highly competitive conditions by...
Following the paradigm set by attraction-repulsion-alignment schemes, a myriad of individual-based m...
International audienceDense granular flows through constrictions, as well as competitive pedestrian ...
Abstract. Numerical simulation of human crowds is a challenging task and a number of models to simul...
When a sizable number of people evacuate a room, if the door is not large enough, an accumulation of...
We use particle-based simulations to examine the flow of particles through an exit. Simulations invo...
In this article, we present a microscopic-discrete mathematical model describing crowd dynamics in ...
The research of pedestrian evacuation dynamics is of significance to understanding and preventing hu...
Complex bodies, as crowds of pedestrian can present Strong Velocity and Density fluctuations. The pe...
The modeling of human behavior is a significant approach to reproduce realistic pedestrian...
International audienceThe non-smooth view of Michel Frfiemond has already been proven successful in ...
International audienceWe propose a hierarchy of kinetic and macroscopic models for a system consisti...
The Social Force Model has been widely used to simulate pedestrian dynamics. Its simplicity and abil...
Force-based models describe the interactions of pedestrians in terms of physical and social forces. ...
Pedestrian crowds often have been modeled as many-particle system including microscopic multi-agent ...