Lagrangian discretization of crowd motion and linear diffusion
Abstract
We study a model of crowd motion following a gradient vector field, with possibly additional interaction terms such as attraction/repulsion, and we present a numerical scheme for its solution through a Lagrangian discretization. The density constraint of the resulting particles is enforced by means of a partial optimal transport problem at each time step. We prove the convergence of the discrete measures to a solution of the continuous PDE describing the crowd motion in dimension one. In a second part, we show how a similar approach can be used to construct a Lagrangian discretization of a linear advection-diffusion equation, interpreted as a gradient flow in Wasserstein space. We provide also a numerical implementation in 2D to demonstrate the feasibility of the computations.
Cite
@article{arxiv.1905.08507,
title = {Lagrangian discretization of crowd motion and linear diffusion},
author = {Hugo Leclerc and Quentin Mérigot and Filippo Santambrogio and Federico Stra},
journal= {arXiv preprint arXiv:1905.08507},
year = {2020}
}