Abstract:
The number of deaths resulting from road accidents and mishaps has increased at an alarming rate over the years. Road transportation is the most popularly used means of transportation in developing countries like Nigeria and most of these road accidents are associated with reckless driving habits. Context-aware systems provide intelligent recommendations allowing digital devices to make correct and timely recommendations when required. Furthermore, in a Vehicular Ad-hoc Network (VANET), communication between vehicles and roadside units are improved thus enabling vehicle and road safety. A non-intrusive driver behaviour detection system that incorporates context-aware monitoring features in VANET is developed in this study. Irregular actions (high speed, alcohol while driving, and pressure) exhibited by drivers are monitored and alerts are sent to other nearby vehicles, roadside units and appropriate authorities for necessary
action. The developed system adopted a real-time VANET prototype with three entities involved in the context-aware driver’s behaviour monitoring system namely, the driver, vehicle, and environment. The analytical tests with actual data set indicate that, when detected, the model measures the pace of the vehicle, the level of alcohol in the breath, and the driver's heart rate inbeat per minute (BPM). Therefore, it can be used as an appropriate implementation for the contextaware driver’s monitoring system in VANET.
