Smart Accident Detection and Emergency Response System for Enhanced Road Safety


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

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 :

  1. 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.
  2. Dr. R. Prasanthi, M.U. Nitish Babu, B. Jaswanth, G.Sumith Chandra, “Accident Detection And Alert System Using Arduino”, April 2023.
  3. 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).
  4. 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.
  5. 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).
  6. 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.

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