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| 001 | 153808 | ||
| 005 | 20210129213806.0 | ||
| 024 | 7 | _ | |a 10.1007/978-3-319-02447-9_50 |2 doi |
| 037 | _ | _ | |a FZJ-2014-03288 |
| 100 | 1 | _ | |a Chraibi, Mohcine |0 P:(DE-Juel1)132077 |b 0 |e Corresponding Author |
| 111 | 2 | _ | |a Pedestrian and Evacuation Dynamics 2012 |c Zurich |d 2012-06-06 - 2012-06-08 |w Swizerland |
| 245 | _ | _ | |a Quantitative Validation of the Generalized Centrifugal Force Model |
| 260 | _ | _ | |a Cham |c 2014 |b Springer International Publishing |
| 295 | 1 | 0 | |a Pedestrian and Evacuation Dynamics 2012 / Cham : Springer International Publishing, 2014, Chapter 50 ; ISBN: 978-3-319-02446-2 |
| 300 | _ | _ | |a 603-613 |
| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1401111349_1846 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Contribution to a book |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |m contb |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Output Types/Conference Paper |2 DataCite |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 520 | _ | _ | |a Mathematical models for pedestrian dynamics contribute increasingly to the process of understanding the dynamics of crowds, which has a positive impact in designing building and enhancing their level of safety. In order to improve their validity and maximize the significance of their predictions, several experiments were conducted and evaluated. The results of these experiments give authentic insights into the dynamics of pedestrians and serve as a benchmark for the models. Therefore, the quantitative validation of mathematical models is an important step in their development and eases their application in real-world scenarios. In this article we briefly introduce the generalized centrifugal force model (GCFM). Computer simulations with the GCFM are compared with different empirical data obtained in controlled experiments. In order to test the quality of the model, several scenarios are simulated without changing the parameters of the underlying model. |
| 536 | _ | _ | |a 411 - Computational Science and Mathematical Methods (POF2-411) |0 G:(DE-HGF)POF2-411 |c POF2-411 |f POF II |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef Book |
| 700 | 1 | _ | |a Seyfried, Armin |0 P:(DE-Juel1)132266 |b 1 |
| 700 | 1 | _ | |a Schadschneider, Andreas |0 P:(DE-HGF)0 |b 2 |
| 773 | _ | _ | |a 10.1007/978-3-319-02447-9_50 |
| 909 | C | O | |o oai:juser.fz-juelich.de:153808 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)132077 |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)132266 |
| 913 | 2 | _ | |a DE-HGF |b Key Technologies |l Supercomputing & Big Data |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |2 G:(DE-HGF)POF3-500 |v Computational Science and Mathematical Methods |x 0 |
| 913 | 1 | _ | |a DE-HGF |b Schlüsseltechnologien |l Supercomputing |1 G:(DE-HGF)POF2-410 |0 G:(DE-HGF)POF2-411 |2 G:(DE-HGF)POF2-400 |v Computational Science and Mathematical Methods |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF2 |
| 914 | 1 | _ | |y 2014 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a contrib |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a contb |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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