Android Based Traffic Flow Prediction

Abstract

The primary reason for such systems would be to alleviate traffic jam that is available in each and every major city. We offer a complete-blown implementation on actual smartphones, with an extensive assessment of their precision and efficiency. Our results make sure smartphone-based TISs can provide accurate traffic condition estimation while being secure and privacy protecting. Nonetheless, to make use of smartphone-based TISs, we have to ensure their privacy and security as well as their effectiveness. Simultaneously, as TISs require fine-grained location information, the privacy from the adding participants should be protected. This requirement for privacy is intensified poor smartphone-based TISs. Growing smartphone transmission, combined with wide coverage of cellular infrastructures, renders wise phone based traffic human resources (TISs) a beautiful option. This is actually the motivation of the paper: We leverage condition-of-the-art cryptographic schemes and easily available telecommunication infrastructure. We present an extensive solution for smartphone-based traffic estimation that is known as secure and privacy protecting.