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Title: :  Survey on Accident Detection using smartphone sensors and rescue System
PaperId: :  9352
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 2 2019
DUI:    16.0415/IJARIIE-9352
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Pranav V. KhoteJSPM’s ICOER
Suraj D. JareJSPM’s ICOER
Ankita R. KanchanJSPM’s ICOER
Shivani R. AdhauJSPM’s ICOER
Dr. Vinod WadneJSPM’s ICOER

Abstract

Computer Engineering
Mobile Computing, GPS, Accident Detection, Android Device, Health Industry
In the world every day a large percentage of people die because of traffic accidents. An effective approach for reducing traffic problems is: first building automatic accident detection system, second, is by minimizing the time to provide the medical and other emergency services. Recent technologies are using built-in vehicle automatic accident detection and notification system. Even though these applications work fine, their installation cost is more expensive, maintenance complex task, and are not available in all cars. On the other hand, the ability to detect accidents using smartphones has only become possible due to the advances in the processing power and built-in sensor in smartphones. Many smartphone-based accident detection systems depend on the high speed of the vehicle (extracted from the smartphone GPS receiver) and the G-Force value extracted from smartphone accelerometer sensor to detect an accident. From many researches has confirmed that most of the road- accidents occur at low speed of the vehicle. Hence, in addition to the high-speed accident detection, this system concentrated on low speed car accident detection. The main problem which is to encounters the low speed accident is how to check whether the driver is inside the vehicle or outside the vehicle, walking or slowly running. The effect of this obstacle is minimized, in this work, by a proposed mechanism that distinguishes between the speed variation of low speed vehicle and walking or slowly running person. This system consists of two Modules: first one is detection module which is used to detect car accident in low and high speeds. The notification module is second module and immediately after an accident is indicated, it is used to send detailed information accident location, etc. to the emergency responder for fast recovery.

Citations

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IJARIIE Pranav V. Khote, Suraj D. Jare, Ankita R. Kanchan, Shivani R. Adhau, and Dr. Vinod Wadne. "Survey on Accident Detection using smartphone sensors and rescue System" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 2 2019 Page 1579-1583
MLA Pranav V. Khote, Suraj D. Jare, Ankita R. Kanchan, Shivani R. Adhau, and Dr. Vinod Wadne. "Survey on Accident Detection using smartphone sensors and rescue System." International Journal Of Advance Research And Innovative Ideas In Education 5.2(2019) : 1579-1583.
APA Pranav V. Khote, Suraj D. Jare, Ankita R. Kanchan, Shivani R. Adhau, & Dr. Vinod Wadne. (2019). Survey on Accident Detection using smartphone sensors and rescue System. International Journal Of Advance Research And Innovative Ideas In Education, 5(2), 1579-1583.
Chicago Pranav V. Khote, Suraj D. Jare, Ankita R. Kanchan, Shivani R. Adhau, and Dr. Vinod Wadne. "Survey on Accident Detection using smartphone sensors and rescue System." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 2 (2019) : 1579-1583.
Oxford Pranav V. Khote, Suraj D. Jare, Ankita R. Kanchan, Shivani R. Adhau, and Dr. Vinod Wadne. 'Survey on Accident Detection using smartphone sensors and rescue System', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 2, 2019, p. 1579-1583. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Survey_on_Accident_Detection_using_smartphone_sensors_and_rescue_System_ijariie9352.pdf (Accessed : 31 May 2019).
Harvard Pranav V. Khote, Suraj D. Jare, Ankita R. Kanchan, Shivani R. Adhau, and Dr. Vinod Wadne. (2019) 'Survey on Accident Detection using smartphone sensors and rescue System', International Journal Of Advance Research And Innovative Ideas In Education, 5(2), pp. 1579-1583IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Survey_on_Accident_Detection_using_smartphone_sensors_and_rescue_System_ijariie9352.pdf (Accessed : 31 May 2019)
IEEE Pranav V. Khote, Suraj D. Jare, Ankita R. Kanchan, Shivani R. Adhau, and Dr. Vinod Wadne, "Survey on Accident Detection using smartphone sensors and rescue System," International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 2, pp. 1579-1583, Mar-App 2019. [Online]. Available: https://ijariie.com/AdminUploadPdf/Survey_on_Accident_Detection_using_smartphone_sensors_and_rescue_System_ijariie9352.pdf [Accessed : 31 May 2019].
Turabian Pranav V. Khote, Suraj D. Jare, Ankita R. Kanchan, Shivani R. Adhau, and Dr. Vinod Wadne. "Survey on Accident Detection using smartphone sensors and rescue System." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 2 (31 May 2019).
Vancouver Pranav V. Khote, Suraj D. Jare, Ankita R. Kanchan, Shivani R. Adhau, and Dr. Vinod Wadne. Survey on Accident Detection using smartphone sensors and rescue System. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : 31 May 2019]; 5(2) : 1579-1583. Available from: https://ijariie.com/AdminUploadPdf/Survey_on_Accident_Detection_using_smartphone_sensors_and_rescue_System_ijariie9352.pdf
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