Intelligent Transportation System For Traffic Accident Monitoring

This paper presents the design of a public transportation monitoring system using Intelligent Transportation System which works in real time with an Android-based application. The traffic accident monitoring system is able to automatically detect traffic accidents and emergency events during a trip. The advantage of this system is that there is accident information that is connected to the community service when there is a suspicious activity or emergency. Experimental result shows that the traffic accident monitoring system has a high performance with 4 parameters, namely accuracy, robustness, integration and convenience. The implementation of fuzzy logic can improve accuracy in decision making that can have an impact on reducing the death rate caused by traffic accidents.