Anzeige
Erschienen in:
2008 | OriginalPaper | Buchkapitel
Modeling Herds and Their Evolvements from Trajectory Data
verfasst von : Yan Huang, Cai Chen, Pinliang Dong
Erschienen in: Geographic Information Science
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
A trajectory is the time-stamped path of a moving entity through space. Given a set of trajectories, this paper proposes new conceptual definitions for a spatio-temporal pattern named
Herd
and four types of herd evolvements:
expand, join, shrink,
and
leave
based on the definition of a related term
flock
. Herd evolvements are identified through measurements of
Precision, Recall,
and
F-score
. A graph-based representation,
Herd Interaction Graph
, or
Herding
, for herd evolvements is described and an algorithm to generate the graph is proposed and implemented in a Geographic Information System (GIS) environment. A data generator to simulate herd movements and their interactions is proposed and implemented as well. The results suggest that herds and their interactions can be effectively modeled through the proposed measurements and the herd interaction graph from trajectory data.