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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-04-01
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Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024054689 |