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| 001 | 1050465 | ||
| 005 | 20260112202640.0 | ||
| 024 | 7 | _ | |a 10.48550/ARXIV.2601.05867 |2 doi |
| 037 | _ | _ | |a FZJ-2026-00234 |
| 100 | 1 | _ | |a Chatagnon, Thomas |0 P:(DE-Juel1)203585 |b 0 |e Corresponding author |
| 245 | _ | _ | |a When legs and bodies synchronize: Two-level collective dynamics in dense crowds |
| 260 | _ | _ | |c 2026 |b arXiv |
| 336 | 7 | _ | |a Preprint |b preprint |m preprint |0 PUB:(DE-HGF)25 |s 1768226973_25915 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a WORKING_PAPER |2 ORCID |
| 336 | 7 | _ | |a Electronic Article |0 28 |2 EndNote |
| 336 | 7 | _ | |a preprint |2 DRIVER |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a Output Types/Working Paper |2 DataCite |
| 520 | _ | _ | |a Ultra-dense crowds, in which physical contact between people cannot be avoided, pose major safety concerns. Nevertheless, the underlying dynamics driving their collective behaviours remain poorly understood. Existing dense crowd models, mostly two-dimensional and contact-based, overlook biomechanical mechanisms that govern individual balance motion. In this study, we introduce a minimal two-level pedestrian model that couples upper body and legs dynamics, allowing us to capture transitions between balanced and unbalanced states at the individual scale. Whereas previous models fail to achieve it, this coupling gives rise to emergent collective behaviours observed empirically, such as self-organized waves and large-scale rotational motion within the crowd. The model bridges basic individual biomechanical concepts and macroscopic flow dynamics, offering a new framework for modelling and understanding collective motions in ultra-dense crowds. |
| 536 | _ | _ | |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5111 |c POF4-511 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 650 | _ | 7 | |a Physics and Society (physics.soc-ph) |2 Other |
| 650 | _ | 7 | |a FOS: Physical sciences |2 Other |
| 700 | 1 | _ | |a Chraibi, Mohcine |0 P:(DE-Juel1)132077 |b 1 |u fzj |
| 700 | 1 | _ | |a Pettré, Julien |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Seyfried, Armin |0 P:(DE-Juel1)132266 |b 3 |u fzj |
| 700 | 1 | _ | |a Tordeux, Antoine |0 P:(DE-Juel1)159135 |b 4 |
| 773 | _ | _ | |a 10.48550/ARXIV.2601.05867 |
| 909 | C | O | |o oai:juser.fz-juelich.de:1050465 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)203585 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)132077 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)132266 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5111 |x 0 |
| 914 | 1 | _ | |y 2026 |
| 920 | 1 | _ | |0 I:(DE-Juel1)IAS-7-20180321 |k IAS-7 |l Zivile Sicherheitsforschung |x 0 |
| 980 | _ | _ | |a preprint |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)IAS-7-20180321 |
| 980 | _ | _ | |a UNRESTRICTED |
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