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

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.