Parameter estimation of social forces in pedestrian dynamics models via a probabilistic method

Focusing on a specific crowd dynamics situation, including real lifeexperiments and measurements, our paper targets a twofold aim: (1) wepresent a Bayesian probabilistic method to estimate the value and theuncertainty (in the form of a probability density function) ofparameters in crowd dynamic mode...

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Bibliographic Details

Published in:	Mathematical Biosciences and Engineering
Main Authors:	Alessandro Corbetta, Adrian Muntean, Kiamars Vafayi
Format:	Article
Language:	English
Published:	AIMS Press 2014-11-01
Subjects:	bayes theorem crowd dynamics models classification data analysis. parameter estimation
Online Access:	https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.337