Moreover, using the SafeTrack, it is possible to manage travels and
load’s deliveries in an automatic way. This is important to shorten
the user’s interaction, optimizing time and reducing problems
caused by human fails.
The main scientific contribution of this work is the automatic
delivery management of loads, without user’s interaction. In that
way, SafeTrack can optimize deliveries and also avoid human mistakes.
Comparing to the related works considered, only eTracer
(Papatheocharous & Gouvas, 2011) tried to handle an automatic
delivery management. However, eTracer only detected when the
load reaches the destination. Differently from that, our model can
further identify if the product was in fact delivered, avoiding
potential deliveries inconsistencies.
Another contribution of SafeTrack is the real-time monitoring of
the delivery process, triggering alerts to highlight several inconsistencies,
including unauthorized shutdown of mobile devices or
even potential cargo thefts. These contributions are a consequence
of merging information technologies and geofencing algorithms,
and they were not found in the related works.