Provision of Information and Detection Systems on Two-Wheeled Motorcycle Accidents

Abstract

This current work proposed the system of detection and information delivery on accident locations to related parties in order to get medical aids punctually. This system was based on three major components as the data source inputs, namely the censors of tilt/slope, vibration, acceleration, and coordinate locations. The data was then processed through Arduino microcontroller by applying a fuzzy logic algorithm using Tsukamoto method as a supporting system for accident status decision. The results of the decision were then transmitted to the data center in real time using the Wi-Fi module, and then send notifications to related parties. The test results revealed that the slope censor accuracy was about 96.1%. Additionally, the use of fuzzy logic via Tsukamoto method was successfully implemented to determine the accident status by an accuracy value of 85.18%.