Smart online vehicle tracking system for security applications
Brahim Hnich, Faisal R. Al-Osaimi, Ata Sasmaz, Ozkan Sayin, Amine Lamine, Majid Alotaibi · 2016
In this paper we present a new Smart Online Vehicle Tracking System for Security Applications (AMOTSSA) and we describe how it can be modelled and implemented as a Big data application. In order to model AMOTSSA as a big data application, we argue our design choices that meets its specific data and processing needs and we present a set of data analytic algorithms that would achieve a set of investigation support goals.