Skip to main navigation Skip to search Skip to main content

Unraveling human crowd dynamics through the foot tracking of pedestrians

  • Yi Ma* (Co-first Author)
  • , Zhipan Niu (Co-first Author)
  • , Meng Shi (Co-first Author)
  • , Wei Xie
  • , Zuoan Hu
  • , Yidong Wei
  • , Tian Zeng
  • , Eric Wai Ming Lee
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

208 Downloads (CityUHK Scholars)

Abstract

Movement of pedestrian crowds is ubiquitous in human society. However, it is unclear what dynamical regimes pedestrian crowds can exhibit at different crowd densities, how pedestrians move in these different dynamical regimes, and in which dynamical regime the movement synchronization of pedestrians is most likely to occur. Here, we conducted a unidirectional crowd movement experiment, in which we tracked the movement of pedestrian crowds through foot tracking. We find experimentally that pedestrian crowds can exhibit three distinct dynamical regimes (free regime, slow-moving regime, and jammed regime) depending on the crowd density. In the free regime, pedestrians’ movement is not constrained; in the slow-moving regime, pedestrians’ speed is constrained, but pedestrians’ movement direction in each step is not influenced; and in the jammed regime, both pedestrians’ speed and movement direction in each step are constrained. We also demonstrate that pedestrians are most likely to synchronize their movements spontaneously at the onset of jamming. Our findings provide important insights into crowd dynamics. © 2025 the Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. no claim to original U.S. Government Works. Distributed under a creative commons Attribution license 4.0 (cc BY).
Original languageEnglish
Article numbereadw2688
JournalScience Advances
Volume11
Issue number26
Online published25 Jun 2025
DOIs
Publication statusPublished - Jun 2025

Funding

This study was supported by the National Natural Science Foundation of China (71901156 to Y.M., 72104254 to M.S., and 72301184 to W.X.)

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

Fingerprint

Dive into the research topics of 'Unraveling human crowd dynamics through the foot tracking of pedestrians'. Together they form a unique fingerprint.

Cite this