A Review on Car Collision Avoidance System based on Interpretation of Vehicle Event Data Recorder

Authors

  • Prof. Tejal Irkhede  Assistant Professor, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Rohit Kashayp  BE Students, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Nikhil Kumar  BE Students, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Vivek Ranjan  BE Students, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Manish Kumar  BE Students, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India

Keywords:

Car Accidents, Road Safety, Public Health, Black Box, Event Data Recorder

Abstract

According to the World Health Organization (WHO), in excess of a million people on the planet pass on consistently by virtue of vehicle accidents. Notwithstanding care cause, this issue is up 'til now growing due to rider's poor practices, for instance, tank driving, speed driving, riding without sufficient rest, riding with no top protection, etc. The Event Data Recorder (EDR) or vehicle 'black box' is a standout amongst the most valuable instruments accessible to crash Reconstructionist. For vehicles outfitted with this innovation, and when the recorders fill in as planned, the EDR gives crash agents significant data that in numerous examples could not be gathered. In this paper, we present the issues related to accident detections and some existing systems for prevention of accidents.

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Published

2019-02-28

Issue

Section

Research Articles

How to Cite

[1]
Prof. Tejal Irkhede, Rohit Kashayp, Nikhil Kumar, Vivek Ranjan, Manish Kumar, " A Review on Car Collision Avoidance System based on Interpretation of Vehicle Event Data Recorder , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 1, pp.422-428, January-February-2019.