ABSTRACT:
Traffic accidents remain a global issue, causing over 1.19 million people are killed and millions of injuries occurs annually Rapid detection and reporting of vehicle crashes can significantly reduce emergency response time and save lives. In this work, we propose a Real-Time Accident Monitoring System that utilises sensor-based detection integrated within an IoT. The proposed system architecture integrates on- board sensors (e.g. accelerometers, GPS and GSM/ GPRM) to detect collisions as they occur. When an accident is identified, the system automatically transmits crucial information including exact location coordinates to emergency contacts such as family members or police helpline services. The system is implemented using ESP32 hardware, MPU6050, GPS module, and GSM/ GPRS module. In testing, the system achieved high detection accuracy (>80%) and triggered alerts with minimal false alarms .The results highlight the system’s effectiveness in improving accident reporting and faster emergency assistance.
Cite this article:
Rishabh Raj, Ritesh Kumar, Shubham Kumar (2025), Design and mplementation of a Real-Time IoT-Based Accident Monitoring and Emergency Alert System. Spectrum of Emerging Sciences, 5 (2) 37-43, 10.55878/SES2025-5-2-9, DOI: https://doi.org/10.55878/SES2025-5-2-9
References:
1.
Bhatti F, Shah
MA, Maple C, Islam SU. A novel Internet of Things-enabled accident detection
and reporting system for smart city environments. Int J Distrib Sens Netw.
2019;15(8):1–13. doi:10.1177/1550147719868060.
2.
Sahraei MA, Al
Mamari SRM. A review of Internet of Things approaches for vehicle accident
detection and emergency notification. J Adv Transp. 2020;2020:1–16.
doi:10.1155/2020/8821397.
3.
Alkhaiwani AH,
Alsamani BS. A framework and IoT-based accident detection system to securely
report an accident and the driver’s private information. Int J Comput Appl.
2021;175(24):1–7.
4.
Pathik N.
AI-enabled accident detection and alert system using IoT and deep learning for
smart cities. Int J Eng Res Technol. 2021;10(6):230–235.
5.
Jnana KP, Narayan
S, Gatade S. Automatic vehicle accident detection and healthcare unit
notification using IoT technology with ESP32. Int Res J Eng Technol.
2021;8(5):3112–3117.
6.
Kumar A, Singh R.
Intelligent automatic accident detection system using GPS. Int J Sci Res
Comput Sci Eng Inf Technol. 2020;6(3):120–125.
7.
Vishwakarma V.
Automatic vehicle crash and rescue system. Mini Project Report. Mumbai (India):
VSIT College of Engineering; 2020–2021.
8.
Accident
detection and intimation system. J Emerg Technol Innov Res.
2021;8(6):154–160.
9.
IoT-based
automatic vehicle accident detection and rescue system. J Comput Res Dev.
2021–2022;8(2):45–50.
10.
Institutional
project collections on accident detection systems. Student Project Repository.
India: Sathyabama Institute of Science and Technology & RCC Institute of
Information Technology; 2021–2023.
11.
Kaul R, Mehta S,
Saha S, Chandra A. Accident alert and vehicle tracking system. Int J Eng
Sci Comput. 2017;7(5):12456–12460.
12.
Pathik N, et al.
AI-enabled accident detection and alert system using IoT and deep learning for
smart cities. In: Proc Int Conf Smart Systems and Inventive Technology
(ICSSIT). IEEE; 2021. p. 456–461.
13.
Tao J, Ali R,
Ahmad S, Ali F. IoT-based smart accident detection and early warning system for
emergency response and risk management. Sensors. 2022;22(14):5218.
doi:10.3390/s22145218.
14.
Shreya K, Arun R,
Gowtham A, Arunkumar R. Safelane: Real-time traffic management and accident
detection using YOLO and LSTM. In: Proc Int Conf Artificial Intelligence
and Smart Systems (ICAIS). IEEE; 2022. p. 112–118.
15.
Jha P, Kumar A, Sahu D, Sharma N. Isolation
enhancement of two element MIMO antenna based on neutralization technique. In: Proc 3rd Int Conf Advancement in Electronics &
Communication Engineering (AECE). IEEE; 2023. p. 355–359.
16.
Saxena D, Kumar A, Verma RK, Jha P. Metamaterial
inspired dual band MIMO antenna with open-ended slot and neutralized line for
isolation enhancement. In: Proc 10th Int Conf
Signal Processing and Integrated Networks (SPIN). IEEE; 2023. p. 727–732.