Human crowds base most of their behavioral decisions upon anticipated states of their walking environment. We explore a minimal version of a lattice model to study lanes formation in pedestrian counterflow. Using the concept of horizon depth, our simulation results suggest that the anticipation effect together with the presence of a small background noise play an important role in promoting collective behaviors in a counterflow setup. These ingredients facilitate the formation of seemingly stable lanes and ensure the ergodicity of the system.
@article{arxiv.2002.06548,
title = {Anticipation decides on lane formation in pedestrian counterflow -- a simulation study},
author = {Emilio N. M. Cirillo and Adrian Muntean},
journal= {arXiv preprint arXiv:2002.06548},
year = {2020}
}