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Rash Driving and Accidental Detection


Rohit H. Rana , Dr. D. Y. Patil Institute Of Technology; Anandhu B. Nair, Dr. D. Y. Patil Institute Of Technology; Sameer D. Pinjari, Dr. D. Y. Patil Institute Of Technology; Sumit Kumar, Dr. D. Y. Patil Institute Of Technology; Pradip Shewale, Dr. D. Y. Patil Institute Of Technology


Driver Safety, Camera Sensing, Smartphone Sensing


Period of time abnormal driving behaviors observance could be a corner stone to improving driving safety. Existing works on driving behaviors observance using smart phones only offer a coarse-grained result, i.e. distinctive abnormal driving behaviors from traditional ones. to enhance drivers awareness of their driving habits thus as to stop potential car accidents, we need to think about a fine grained observance approach, that not only detects abnormal driving behaviors but also identifies specific forms of abnormal driving behaviors, i.e. Weaving, Swerving, side slipping, quick reverse, Turning with a large radius and fast braking. Through empirical studies of the 6-month driving traces collected from real driving environments, we discover that each one of the six forms of driving behaviors have their distinctive patterns on acceleration and orientation. Recognizing this observation, we have a tendency to additional propose a fine-grained abnormal Driving behavior Detection and identification system to perform real-time high correct abnormal driving behaviors observance using smart phone sensors. Propose system utilizes smartphone sensing of vehicle dynamics to determine driver phone use, which might facilitate several traffic safety applications. Our system uses embedded sensors in smartphones, i.e., accelerometers and gyroscopes, to capture variations in acceleration attributable to vehicle dynamics. These variations combined with angular speed will verify whether or not the accident occurred or not. Our low infrastructure approach is versatile with completely different driving speeds [1].

Other Details

Paper ID: IJSRDV5I110120
Published in: Volume : 5, Issue : 11
Publication Date: 01/02/2018
Page(s): 159-161

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