Particle filtering supported probability density estimation of mobility patterns

This paper presents a methodology that aims to enhance the accuracy of probability density estimation in mobility pattern analysis by integrating prior knowledge of system dynamics and contextual information into the particle filter algorithm. The quality of the data used for density estimation is o...

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Bibliographic Details
Main Authors: András Darányi, Tamás Ruppert, János Abonyi
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024054689