An anisotropic interaction model with collision avoidance

TL;DR

This paper introduces an anisotropic interaction model that incorporates collision avoidance, enabling realistic pedestrian dynamics simulation and pattern formation, with validation through numerical experiments at microscopic and mesoscopic levels.

Contribution

It proposes a novel anisotropic interaction model that generalizes standard models and allows for collision avoidance and formal mean-field limit analysis.

Findings

Successfully reproduces lane formation in pedestrian flow

Demonstrates traveling wave patterns at crossings

Intrinsic emergence of right/left precedence rules

Abstract

In this article an anisotropic interaction model avoiding collisions is proposed. Starting point is a general isotropic interacting particle system, as used for swarming or follower-leader dynamics. An anisotropy is induced by rotation of the force vector resulting from the interaction of two agents. In this way the anisotropy is leading to a smooth evasion behaviour. In fact, the proposed model generalizes the standard models, and compensates their drawback of not being able to avoid collisions. Moreover, the model allows for formal passage to the limit 'number of particles to infinity', leading to a mesoscopic description in the mean-field sense. Possible applications are autonomous traffic, swarming or pedestrian motion. Here, we focus on the latter, as the model is validated numerically using two scenarios in pedestrian dynamics. The first one investigates the pattern formation in a channel, where two groups of pedestrians are walking in opposite directions. The second experiment considers a crossing with one group walking from left to right and the other one from bottom to top. The well-known pattern of lanes in the channel and travelling waves at the crossing can be reproduced with the help of this anisotropic model at both, the microscopic and the mesoscopic level. In addition, the 'right-before-left' and 'left-before-right' rule appear intrinsically for different anisotropy parameters.