A new Bayesian mixture model separates human GPS movement into Brownian activity clusters and Lévy jumps, and generates synthetic trajectories that preserve key mobility metrics.
L \'e vy processes , volume 121
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
stat.ME 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Modeling Human Spatial Mobility Patterns with the L\'evy Flight Cluster Model
A new Bayesian mixture model separates human GPS movement into Brownian activity clusters and Lévy jumps, and generates synthetic trajectories that preserve key mobility metrics.