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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Kadri Ibrahim
University Tahri Mohammed Bechar

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Acceleration based black-box accident detection and warning system Kadri Ibrahim; Kadri Boufeldja; Beladgham Mohammed; Dahmane Oussama
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 3: September 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i3.pp1838-1846

Abstract

This research paper has been consecrated to design a black-box accident warning system that combines both Global System for Mobile Communication (GSM) and Global Positioning System (GPS) technologies to locate and send a Minimum Amount of Data containing important information about the accident gathered using different sensors such as the accident type, geographic coordinates, time and velocity of the vehicle to the intervention services (Hospitals, civil protection and police). In addition, the system exploits the data obtained via OBD-II standard to provide a reliable accident detection method based on the vehicle acceleration. Obviously, this system seemed to be the best solution for countries where the average age of vehicles is quite higher than others. The system has been placed in a real vehicle in order to test the accident detection algorithm by applying sudden medium braking.
Co-Authors Beladgham Mohammed Dahmane Oussama Kadri Boufeldja