Modeling Trajectory Data as a Directed Graph

In the last decade, usage of personnel smartphones has
tremendously increased. Almost everyone is using cell phones,
which are communicating with location-aware devices. The large
amount trajectory data is produced from these devices and can be
used for information services. The one of the key elements in
mining of GPS or mobility data is the stay point recognition. A stay
point is described as a location where a person frequently visits or
stay for a long time of period. In this work, we first introduce an
algorithm to define a stay point for a person whose trajectory data
is recorded with a smartphone. Later, with another algorithm, we
define a graph model representing a person’s moving
characteristics, which is built upon our stay point’s algorithm.


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