Indonesia Conference Directory

The condition to trigger the Automatic crash detection for motorcycles is more complex. Since the real life collisions are usually different than those in the lab, so in order to boost the accuracy and effectivity, the researchers must reduce inconsequential deployments, the occupant weight, and riding condition, as well as re-calculate the speed to crash conditions. In this paper was present a continuously evaluates and innovate for crash detection with automated notification to motorcycles. The accident detection system communicates the accelerometer, vibration, speed and lean values to the determine accident status and level. In this concept, three different variable measurement are attached to head of the motorist and motorcycle body, Crash dummy tests are done for trial particular systems in helmet by throwing the helmet with different altitudes to simulate the effect of crash to the motorist, and for capture the location of accident, real data is collected by driving the motorcycle. The implemented prototype system shows promising results for automatic crash detection, and the system also shows its success for deliver real-time notifications when an accident is happening