Authors :
Basavraj R Duganavar; S Aditya Vardhan; Chinmay Chinchanikar; Nachiket Magadu; Dr. Harish H K
Volume/Issue :
Volume 9 - 2024, Issue 5 - May
Google Scholar :
https://tinyurl.com/mv4smsje
Scribd :
https://tinyurl.com/mtfjss66
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24MAY394
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
In the realm of road safety, prompt and
accurate accident response is paramount to mitigating
fatal injuries and saving lives. The existing approach,
reliant on manual reporting to authorities or the injured
party's ability to communicate with emergency services,
introduces delays that can prove fatal.
The presented system uses a combination of IoT
modules to detect the accident and alert the EMS. It uses
an accelerometer to detect the accident, a sim module
equipped with a 2G sim to send an alert message
consisting of the drivers details, car details, and crash
location, acquired by the GPS module to the authorities
and few selected individuals.
The goal is to drastically reduce emergency response
time, improving the likelihood of survival and quick
recovery of the injured. This innovative approach not
only addresses the current gaps in accident reporting but
also contributes to an overall improvement in road safety
infrastructure. This work uses a collection of sensors to
identify an accident and point out the accident location.
This data is sent as a text message to emergency services
through which immediate help can be received.
Keywords :
Sensors, Emergency Services, Immediate Help, Response Time.
References :
- Dr. C. K. Gomathy, K Rohan, Bandi Mani Kiran Reddy, Dr. V Geetha, “Accident Detection And Alert System”, Journal Of Engineering, Computing & Architecture”, MARCH 2022B. Rieder, Engines of Order: A Mechanology of Algorithmic Techniques. Amsterdam, Netherlands: Amsterdam Univ. Press, 2020.
- Dr. R. Prasanthi, M.U. Nitish Babu, B. Jaswanth, G.Sumith Chandra, “Accident Detection And Alert System Using Arduino”, April 2023.
- M. Ajay Kumar, Sree Kamya,K. Kiranmai, Pragathi (2023),"Dynamic Accident Detection And Alert System Using Arduino”, Journal of Emerging Technologies and Innovative Research (JETIR).
- G. Siri, G. Priyanka, B. Divya, G. Sameera, Ms. M. Pallavi (2022),"Accident Detection And Alert System", International Research Journal of Modernization in Engineering Technology and Science.
- L Vijayaraja, R Dhanasekar, Magesh Krishna, Mahidhar, Prakash and Shashikumar P,"A low cost and user-friendly vehicle crash alert system Using Arduino “, IOP Conf. Series: Materials Science and Engineering (2020).
- S. Patil, K. Patil, S. Dhabekar, M. Nirgude, and Prof. S. Renushe, "Accident Identification & Alerting System," in International Research Journal of Modernization in Engineering Technology and Science, vol. 2, no. 7, Jul. 2020.
7. J. P. Byrne, N. C. Mann, M. Dai, S. A. Mason, P. Karanicolas, S. Rizoli, and A. B. Nathens, "Association Between Emergency Medical Service Response Time and Motor Vehicle Crash Mortality in the United States," JAMA Surg., vol. 154, no. 4,
In the realm of road safety, prompt and
accurate accident response is paramount to mitigating
fatal injuries and saving lives. The existing approach,
reliant on manual reporting to authorities or the injured
party's ability to communicate with emergency services,
introduces delays that can prove fatal.
The presented system uses a combination of IoT
modules to detect the accident and alert the EMS. It uses
an accelerometer to detect the accident, a sim module
equipped with a 2G sim to send an alert message
consisting of the drivers details, car details, and crash
location, acquired by the GPS module to the authorities
and few selected individuals.
The goal is to drastically reduce emergency response
time, improving the likelihood of survival and quick
recovery of the injured. This innovative approach not
only addresses the current gaps in accident reporting but
also contributes to an overall improvement in road safety
infrastructure. This work uses a collection of sensors to
identify an accident and point out the accident location.
This data is sent as a text message to emergency services
through which immediate help can be received.
Keywords :
Sensors, Emergency Services, Immediate Help, Response Time.