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Parameter estimatio...
Parameter estimation of social forces in pedestrian dynamics models via a probabilistic method
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- Corbetta, Alessandro (author)
- Eindhoven University of Technolology; Politecnio di Torino
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- Muntean, Adrian, 1974- (author)
- Eindhoven University of Technolology,Mathematics
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- Vafayi, Kiamars (author)
- Eindhoven University of Technolology
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(creator_code:org_t)
- American Institute of Mathematical Sciences, 2015
- 2015
- English.
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In: Mathematical Biosciences and Engineering. - : American Institute of Mathematical Sciences. - 1547-1063 .- 1551-0018. ; 12:2, s. 337-356
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Abstract
Subject headings
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- Focusing on a specific crowd dynamics situation, including real life experiments and measurements, our paper targets a twofold aim: (1) we present a Bayesian probabilistic method to estimate the value and the uncertainty (in the form of a probability density function) of parameters in crowd dynamic models from the experimental data; and (2) we introduce a fitness measure for the models to classify a couple of model structures (forces) according to their fitness to the experimental data, preparing the stage for a more general model-selection and validation strategy inspired by probabilistic data analysis. Finally, we review the essential aspects of our experimental setup and measurement technique.
Subject headings
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Keyword
- Bayesian estimation
- crowd dynamics
- parameter estimation
- data analysis
- statistics
- Matematik
- Mathematics
Publication and Content Type
- ref (subject category)
- art (subject category)
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