Vision-based macroscopic pedestrian models

Pierre Degond (1) , Cécile Appert-Rolland (2) , Julien Pettré (3) , Guy Theraulaz (4)

1 IMT - Institut de Mathématiques de Toulouse UMR5219
2 LPT - Laboratoire de Physique Théorique d'Orsay [Orsay]
3 MIMETIC - Analysis-Synthesis Approach for Virtual Human Simulation
4 CRCA - Centre de Recherches sur la Cognition Animale - UMR5169

We propose a hierarchy of kinetic and macroscopic models for a system consisting of a large number of interacting pedestrians. The basic interaction rules are derived from earlier work where the dangerousness level of an interaction with another pedestrian is measured in terms of the derivative of the bearing angle (angle between the walking direction and the line connecting the two subjects) and of the time-to-interaction (time before reaching the closest distance between the two subjects). A mean-field kinetic model is derived. Then, three different macroscopic continuum models are proposed. The first two ones rely on two different closure assumptions of the kinetic model, respectively based on a monokinetic and a von Mises-Fisher distribution. The third one is derived through a hydrodynamic limit. In each case, we discuss the relevance of the model for practical simulations of pedestrian crowds.

Domaines: Physique mathématique [math-ph]

Pierre Degond, Cécile Appert-Rolland, Julien Pettré, Guy Theraulaz. Vision-based macroscopic pedestrian models. Kinetic and Related Models , 2013, 6, pp.809-839. ⟨10.3934/krm.2013.6.809⟩. ⟨hal-00842083⟩