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| Hauptseite > Publikationsdatenbank > Dynamics of moving crowds - Transport, behaviour and risks at high densities > print |
| Hauptseite > Publikationsdatenbank > Dynamics of moving crowds - Transport, behaviour and risks at high densities > print |
| 001 | 1050071 | ||
| 005 | 20251223202202.0 | ||
| 037 | _ | _ | |a FZJ-2025-05781 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Seyfried, Armin |0 P:(DE-Juel1)132266 |b 0 |u fzj |
| 111 | 2 | _ | |a Perception and action seminar |c Providence |w USA |
| 245 | _ | _ | |a Dynamics of moving crowds - Transport, behaviour and risks at high densities |f 2025-03-12 - |
| 260 | _ | _ | |c 2025 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a Talk (non-conference) |b talk |m talk |0 PUB:(DE-HGF)31 |s 1766491216_3772 |2 PUB:(DE-HGF) |x Invited |
| 336 | 7 | _ | |a Other |2 DINI |
| 502 | _ | _ | |c Brown University |
| 520 | _ | _ | |a Knowledge about the dynamic in crowds is useful for planning events, transportation hubs, or escape routes in buildings. In this context, the first part of the lecture introduces transport characteristics of crowds. This includes collective phenomena, the relationship between density, speed and flow as well as congestion at bottlenecks. State of the art models represent pedestrian as two-dimensional objects (e.g., circles, ellipses, etc.) and are thus able to predict congestion in complex path networks. However, they reach their limits when it comes to describing crowds at high densities. An insight into these dynamics is gained by witness statements from the Love Parade in Duisburg, an event in which 31 people died. The analysis shows how people behave in crowds and how the loss of balance lead to life-threatening situations. The last part of the talk introduces a methodology for collecting data that provides a three-dimensional description of the movement and interaction of bodies (torsos and limbs) in crowds. This data forms the basis to develop hybrid AI models in which pedestrians interact as three-dimensional objects. |
| 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 |
| 909 | C | O | |o oai:juser.fz-juelich.de:1050071 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |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 2025 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)IAS-7-20180321 |k IAS-7 |l Zivile Sicherheitsforschung |x 0 |
| 980 | _ | _ | |a talk |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)IAS-7-20180321 |
| 980 | _ | _ | |a UNRESTRICTED |
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