000153808 001__ 153808
000153808 005__ 20210129213806.0
000153808 0247_ $$2doi$$a10.1007/978-3-319-02447-9_50
000153808 037__ $$aFZJ-2014-03288
000153808 1001_ $$0P:(DE-Juel1)132077$$aChraibi, Mohcine$$b0$$eCorresponding Author
000153808 1112_ $$aPedestrian and Evacuation Dynamics 2012$$cZurich$$d2012-06-06 - 2012-06-08$$wSwizerland
000153808 245__ $$aQuantitative Validation of the Generalized Centrifugal Force Model
000153808 260__ $$aCham$$bSpringer International Publishing$$c2014
000153808 29510 $$aPedestrian and Evacuation Dynamics 2012 / Cham : Springer International Publishing, 2014, Chapter 50 ; ISBN: 978-3-319-02446-2
000153808 300__ $$a603-613
000153808 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1401111349_1846
000153808 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
000153808 3367_ $$033$$2EndNote$$aConference Paper
000153808 3367_ $$2ORCID$$aCONFERENCE_PAPER
000153808 3367_ $$2DataCite$$aOutput Types/Conference Paper
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000153808 3367_ $$2BibTeX$$aINPROCEEDINGS
000153808 520__ $$aMathematical models for pedestrian dynamics contribute increasingly to the process of understanding the dynamics of crowds, which has a positive impact in designing building and enhancing their level of safety. In order to improve their validity and maximize the significance of their predictions, several experiments were conducted and evaluated. The results of these experiments give authentic insights into the dynamics of pedestrians and serve as a benchmark for the models. Therefore, the quantitative validation of mathematical models is an important step in their development and eases their application in real-world scenarios. In this article we briefly introduce the generalized centrifugal force model (GCFM). Computer simulations with the GCFM are compared with different empirical data obtained in controlled experiments. In order to test the quality of the model, several scenarios are simulated without changing the parameters of the underlying model.
000153808 536__ $$0G:(DE-HGF)POF2-411$$a411 - Computational Science and Mathematical Methods (POF2-411)$$cPOF2-411$$fPOF II$$x0
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000153808 7001_ $$0P:(DE-Juel1)132266$$aSeyfried, Armin$$b1
000153808 7001_ $$0P:(DE-HGF)0$$aSchadschneider, Andreas$$b2
000153808 773__ $$a10.1007/978-3-319-02447-9_50
000153808 909CO $$ooai:juser.fz-juelich.de:153808$$pVDB
000153808 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132077$$aForschungszentrum Jülich GmbH$$b0$$kFZJ
000153808 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132266$$aForschungszentrum Jülich GmbH$$b1$$kFZJ
000153808 9132_ $$0G:(DE-HGF)POF3-511$$1G:(DE-HGF)POF3-510$$2G:(DE-HGF)POF3-500$$aDE-HGF$$bKey Technologies$$lSupercomputing & Big Data $$vComputational Science and Mathematical Methods$$x0
000153808 9131_ $$0G:(DE-HGF)POF2-411$$1G:(DE-HGF)POF2-410$$2G:(DE-HGF)POF2-400$$3G:(DE-HGF)POF2$$4G:(DE-HGF)POF$$aDE-HGF$$bSchlüsseltechnologien$$lSupercomputing$$vComputational Science and Mathematical Methods$$x0
000153808 9141_ $$y2014
000153808 920__ $$lyes
000153808 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
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000153808 980__ $$aI:(DE-Juel1)JSC-20090406
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