Android Application for Automatic Accident Detection

March 2017
Vol-3, Issue-2
Paper ID: 4121
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Information Technology
Keywords
Android GPS Accelerometer eCall Gyroscope SMS
Abstract
Vehicle Accidents are fact of life. Driver inattention causes most of the vehicle accidents. And these Accidents produces economic cost and social cost, as well as injuries sometimes death as well. Therefore we proposed a scheme called “Accident Prevention and Detection System”. In this project we presents a system that uses smartphones to automatically detect and report vehicle accidents in a timely manner. Data is continuously taken from smartphone’s accelerometer and analyzed using Dynamic Time Wrapping (DTW) to determine how badly the accident is happened. It notifies first responders of the accident location and owner's medical information. Responders are the number that is stored as an emergency number in the application. By implementing this application and further adding a notification system, the response time required to notify emergency responders of traffic accidents can reduce the response time and perhaps help in reducing fatalities. Global Positioning System (GPS) is the only available system today able to show one’s own position on the earth any time in any weather, anywhere. In this project addresses this satellite based navigation system at length. An e- Call System it automatically calls the nearest emergency Centre. Even if no passenger is able to speak, a Minimum Set of Data is sent, which includes the exact location of the Accident Site. Shortly after the accident, emergency services therefore know that there has been an accident, and where exactly.

Author Information

# Name Institute / Affiliation
1 Dnyanesh Shivaji Dalvi Dr.D.Y.Patil Institute of Engineering and Technology
2 Sagar Atul Bansod Dr.D.Y.Patil Institute of Engineering and Technology
3 Vinit Balaram Agrawal Dr.D.Y.Patil Institute of Engineering and Technology
4 Apurv Manohar Jadhav Dr.D.Y.Patil Institute of Engineering and Technology
5 Prof. Minal Shahakar Dr.D.Y.Patil Institute of Engineering and Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style
Dalvi, Dnyanesh Shivaji, Bansod, Sagar Atul, Agrawal, Vinit Balaram, Jadhav, Apurv Manohar, & Shahakar, Prof. Minal (2017). Android Application for Automatic Accident Detection. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 736-739.
MLA Style
Dalvi, Dnyanesh Shivaji, et al. "Android Application for Automatic Accident Detection." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 736-739.
IEEE Style
Dnyanesh Shivaji Dalvi, Sagar Atul Bansod, Vinit Balaram Agrawal, Apurv Manohar Jadhav, and Prof. Minal Shahakar, "Android Application for Automatic Accident Detection," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 736-739, 2017.
Vancouver Style
Dalvi Dnyanesh Shivaji, Bansod Sagar Atul, Agrawal Vinit Balaram, Jadhav Apurv Manohar, Shahakar Prof. Minal. Android Application for Automatic Accident Detection. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):736-739.
Harvard Style
Dalvi, Dnyanesh Shivaji, Bansod, Sagar Atul, Agrawal, Vinit Balaram, Jadhav, Apurv Manohar, & Shahakar, Prof. Minal (2017) 'Android Application for Automatic Accident Detection', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 736-739.
Chicago Style
Dalvi, Dnyanesh Shivaji, et al. "Android Application for Automatic Accident Detection." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 736-739.
Turabian Style
Dalvi, Dnyanesh Shivaji, et al. "Android Application for Automatic Accident Detection." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 736-739.

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