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Search: WFRF:(Vafayi Kiamars)

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  • Corbetta, Alessandro, et al. (author)
  • Parameter estimation of social forces in pedestrian dynamics models via a probabilistic method
  • 2015
  • In: Mathematical Biosciences and Engineering. - : American Institute of Mathematical Sciences. - 1547-1063 .- 1551-0018. ; 12:2, s. 337-356
  • Journal article (peer-reviewed)abstract
    • 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.
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Type of publication
journal article (1)
Type of content
peer-reviewed (1)
Author/Editor
Muntean, Adrian, 197 ... (1)
Corbetta, Alessandro (1)
Vafayi, Kiamars (1)
University
Karlstad University (1)
Language
English (1)
Research subject (UKÄ/SCB)
Natural sciences (1)
Year
2015 (1)

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