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Title: :  Android Application for Automatic Accident Detection
PaperId: :  4121
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 2 2017
DUI:    16.0415/IJARIIE-4121
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Dnyanesh Shivaji DalviDr.D.Y.Patil Institute of Engineering and Technology
Sagar Atul BansodDr.D.Y.Patil Institute of Engineering and Technology
Vinit Balaram AgrawalDr.D.Y.Patil Institute of Engineering and Technology
Apurv Manohar JadhavDr.D.Y.Patil Institute of Engineering and Technology
Prof. Minal ShahakarDr.D.Y.Patil Institute of Engineering and Technology

Abstract

Information Technology
Android, GPS, Accelerometer, eCall, Gyroscope, SMS
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.

Citations

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IJARIIE 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 Volume 3 Issue 2 2017 Page 736-739
MLA 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 3.2(2017) : 736-739.
APA Dnyanesh Shivaji Dalvi, Sagar Atul Bansod, Vinit Balaram Agrawal, Apurv Manohar Jadhav, & Prof. Minal Shahakar. (2017). Android Application for Automatic Accident Detection. International Journal Of Advance Research And Innovative Ideas In Education, 3(2), 736-739.
Chicago 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 3, no. 2 (2017) : 736-739.
Oxford 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, 2017, p. 736-739. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Android_Application_for_Automatic_Accident_Detection_ijariie4121.pdf (Accessed : 22 February 2023).
Harvard Dnyanesh Shivaji Dalvi, Sagar Atul Bansod, Vinit Balaram Agrawal, Apurv Manohar Jadhav, and Prof. Minal Shahakar. (2017) 'Android Application for Automatic Accident Detection', International Journal Of Advance Research And Innovative Ideas In Education, 3(2), pp. 736-739IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Android_Application_for_Automatic_Accident_Detection_ijariie4121.pdf (Accessed : 22 February 2023)
IEEE 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, Mar-App 2017. [Online]. Available: https://ijariie.com/AdminUploadPdf/Android_Application_for_Automatic_Accident_Detection_ijariie4121.pdf [Accessed : 22 February 2023].
Turabian 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 [Online]. volume 3 number 2 (22 February 2023).
Vancouver 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 [Internet]. 2017 [Cited : 22 February 2023]; 3(2) : 736-739. Available from: https://ijariie.com/AdminUploadPdf/Android_Application_for_Automatic_Accident_Detection_ijariie4121.pdf
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