ABSTRACT
An Advancement into location-based trajectories has become focal point in research
community and researchers who never saw the need before now have come to the reality
of the enormous benefits associated with space technology. One aspect of Space
technology that have changed goofy state of the society is the Global Positioning System
(GPS) designed and launched by the United State Department of Defense in 1973. The
idea behind the technology was basically reserved for the military use but as technology
and computing power evolves, unprecedentedly, research area such as mobility
trajectories prediction human proximity management etc. have now opened a new scope
for research exploration. One of the key factors that has changed this aspect of research
is the availability of the GPS function in most handheld devices or smart phones. The
embedded features as seen in most smart phones today is use to collect human mobility
trajectory data which researchers have now seen as ample opportunity to approximately
calculate through different algorithm the most likely place to be visited. Human mobility
trajectories and proximity algorithm management is indeed an interesting area in
trajectory prediction. As the search by researchers on the best trajectory prediction-
based location algorithm continues little attention is being given to the multi-factor
synergy of the current prediction algorithms. This paper provides a crystalized
classification of different algorithms used in the realization of proximity trajectories
prediction and explained the conceptual sequence of the divergent approach to human
mobility trajectory location.
KEYWORDS: Trajectory, Location, Mobility, Proximity, prediction, Markov Chain