Citation

Wu W, Yi W, Wang X, Zheng X. Transp. Res. C Emerg. Technol. 2023; 152: e104154.

Copyright

(Copyright © 2023, Elsevier Publishing)

DOI

10.1016/j.trc.2023.104154

PMID

unavailable

Abstract

The study of crowd dynamics has provided new insights into the understanding of human collective motion. However, most previous studies treated large-scale crowds as consisting of isolated individuals, but ignored the fact that pedestrian subgroups are prevalent in reality. With the increasing advancement of computer simulations, the critical role of subgroups in crowd modeling has been gradually recognized. Here, we develop a force-based model to reproduce the walking behaviors of pedestrian subgroups, in which the quantitative laws extracted from public datasets are incorporated for controlling their spatial configurations at different non-extreme densities. Numerical simulations indicate that our model achieves the simulation of pedestrian subgroups that coincides with empirical observations, and presents better simulation performance than existing subgroup models. The presence of pedestrian subgroups has also been confirmed to have certain effects on both fundamental diagrams and lane formation. Overall, this paper contributes a valuable framework to the modeling of pedestrian subgroups for guiding relevant implementations in potential application areas.

Language: en

Keywords

Adaptive control; Crowd dynamics; Force-based model; Pedestrian subgroup; Spatial configuration; Walking behavior