A Fog-Based DSS Model for Driving Rule Violation Monitoring Framework on the Internet of Things

Abstract

See, stats, and : https : / / www . researchgate. net / publication / 282131422 A - Based Violation Internet Article DOI : 10 . 14257 / ijast . 2015 . 82 . 03 CITATIONS 5 READS 83 3 , including : Some : Smart Sandip University 24 SEE Rajesh University 28 SEE All . The . All - text and , letting . Abstract In recent days for logistics as well as common peoples of developing and developed countries are in need of transportation policy including road safety , which can be achieved only when well - managed driving rule violation monitoring takes place to monitor the flow of increasing number of vehicles . Manual detection of driving rule breakers leads to overhead of today ' s traffic monitoring body . Switching to an automated decision support driving rule violation monitoring system based on sensor network is one of the paradigms to solve this issue . Upcoming cloud researchers have already felt the demand of designing such a sensor - based driver ' s driving rule violation monitoring cloud application that can release the overhead of the current traffic monitoring bodies . To accomplish the client ' s expectation researchers have realized such cloud application based on sensor network or Internet of Things (IoT) is not so satisfactory . To solve these bottleneck conditions of the cloud computing , researchers have introduced the future of cloud computing called fog computing in this aspect , where computing services reside at the network edge . This paper proposed novel fog - based intelligent decision support system (DSS) for driver safety and traffic violation monitoring based on the IoT . Our conceptual framework could easily be adapted in current scenario and can also become a de facto decision support system model for future hassle - free driving rule violation monitoring system .