This title appears in the Scientific Report :
2014
Please use the identifier:
http://dx.doi.org/10.1007/978-3-319-02447-9_50 in citations.
Quantitative Validation of the Generalized Centrifugal Force Model
Quantitative Validation of the Generalized Centrifugal Force Model
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, se...
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Personal Name(s): | Chraibi, Mohcine (Corresponding Author) |
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Seyfried, Armin / Schadschneider, Andreas | |
Contributing Institute: |
Jülich Supercomputing Center; JSC |
Published in: |
Pedestrian and Evacuation Dynamics 2012 / Cham : Springer International Publishing, 2014, Chapter 50 ; ISBN: 978-3-319-02446-2 |
Imprint: |
Cham
Springer International Publishing
2014
|
Physical Description: |
603-613 |
DOI: |
10.1007/978-3-319-02447-9_50 |
Conference: | Pedestrian and Evacuation Dynamics 2012, Zurich (Swizerland), 2012-06-06 - 2012-06-08 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
Computational Science and Mathematical Methods |
Publikationsportal JuSER |
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. |