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This paper proposes an effective approach for real-time monitoring and detection of drink-driving and over-speeding on South Africa (SA) roads using technologies of vehicular networks (VANET) and Internet of Things (IoT). This is because drink-driving and over-speeding have been known as the major causes of injuries and deaths on roads globally and SA is not an exception. As a viable solution, our proposed approach is based on real-time measure to provide quick responses by traffic personnel aim at saving lives before the actual accident occurs. To this end a theoretical framework of the system was designed and an application prototype developed to monitor the detected traffic offenders with respect to drink-driving and over-speeding. Moreover, we presented and discussed the system's operations and its functionalities. A novel application simulation performed shows that the system is feasible and can …