Balafif, Sabri and Purnomo, Dwi and Haryanti, Tining
(2020)
MERA (motorcycle emergency ride assistance): plug-in for accident detection and notification.
Journal of Physics: Conference Series.
ISSN 17426588, 17426596
Abstract
The condition to trigger the Automatic crash detection for motorcycles is more complex, since thecollisions in real life are usually different than those in the lab. so in order to boost the accuracy andaffectivity, the researchers must reduce inconsequential deployments, the occupant weight, and ridingcondition, as well as re-calculate the speed to crash conditions. In this paper was present a continuouslyevaluates and innovate for crash detection with support automated notification system. The accidentdetection, communicates the accelerometer, vibration, speed and lean values to the determine accidentstatus and level. In this concept, three different variable measurements are attached to head of themotorist and motorcycle body, Crash dummy tests are done for trial particular systems in helmet bythrowing 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 implementedprototype system showed promising results for automatic crash detection, and the system also showedits success for deliver real-time notifications when an accident was happening.
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