Intelligent Motorcycle Monitoring Scheme using IoT with Expert System in Bangladesh

Bangladesh’s motorcycle industry is booming economically in recent years. The number of fatal accidents and causalities are increasing day by day. Motorcycle driving, maintenance knowledge, and service level, etc. are below the standard, which leads to major fatal road accidents. This research work proposed such a system that monitors a motorcycle as well as its rider’s condition using IoT devices and an expert system to diagnose the vehicle for fault identification. The proposed scheme reflects on the embodiment of a smart helmet, having an alcohol detection sensor to diagnose if the rider wears a helmet or is drunk. The system also processes the information about engine temperature, motorcycle speed, distance with the neighboring vehicle, and real-time location tracking. In the case of an accident, the system immediately sends an SMS, including Global Positioning System (GPS) location to the authorized contacts. The proposed approach also illustrates an Expert System (ES) which analyzes IoT cloud data and gives a possible solution to identified problems. Several types of experiments, such as sensor data calculation, location tracking, fault diagnosis using ES, and comparison among existing solutions, have been enumerated and interpreted to ensure safe driving in Bangladesh.