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Paper ID:IJSREM43544

Implementation of Vehicle Accident Detection and Reporting System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM43544

Volume:

9 |

4 |

Apr 2025

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM43544

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

BPR

Bhoomika P. R.

Department of Electrical and Electronics Engineering,

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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MG

M. Geetha

Department of Electrical and Electronics Engineering,

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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NMLS

N. M. Leela Sharvani

Department of Electrical and Electronics Engineering,

Ballari Institute of Technology and Management, Ballari, Karnataka, India

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MS

M. Sneha

Department of Electrical and Electronics Engineering,

Ballari Institute of Technology and Management, Ballari, Karnataka, India

Download Co-Author Certificate

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Abstract

Road traffic accidents are a major concern, particularly when delays in accident detection and medical assistance increase the risk of fatalities. This paper presents the Implementation of a Vehicle Accident Detection and Reporting System designed to automatically detect accidents and provide rapid emergency notification. The system integrates an Arduino microcontroller with MEMS sensors, GPS, and GSM modules. The MEMS sensor continuously monitors vehicle motion and detects sudden impacts or abnormal conditions indicating an accident. Once an accident is detected, the GPS module determines the precise location, while the GSM module transmits an SMS containing the accident details and location to predefined emergency contacts and a treatment centre. The system also incorporates an LCD for status indication and audible alerts to attract nearby assistance. By providing automatic accident detection, location tracking, and immediate communication, the proposed system reduces dependence on manual accident reporting and helps minimize delays in emergency response. The developed system provides a practical and effective approach for improving vehicle safety and supporting timely medical assistance.

KEYWORDS

Vehicle Accident Detection Arduino MEMS GPS GSM Emergency Alert Vehicle Safety.

Cite This Article

Bhoomika P. R., M. Geetha, N. M. Leela Sharvani, M. Sneha, "Implementation of Vehicle Accident Detection and Reporting System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, pp. 1-5, Apr 2025. https://doi.org/10.55041/IJSREM43544

Full Article/Conclusion

The Vehicle Accident Detection and Reporting System was successfully developed by integrating Arduino Uno, MEMS accelerometer, GPS, and GSM technologies. The system effectively detects accident conditions, identifies the direction of impact, obtains the accident location, and automatically transmits the relevant information through SMS to predefined emergency contacts. The LCD and buzzer provide local status and warning indications, enabling effective monitoring of the system. The experimental implementation demonstrates that the proposed system provides a practical and efficient approach for reducing delays in accident reporting and improving emergency response. The developed prototype can serve as a foundation for future intelligent vehicle safety systems with enhanced communication, IoT connectivity, and automated emergency-response capabilities.

References

[1] S. K. Sulaiman and R. N. Othman, “Vehicle Accident Avoidance System,” Department of Computer Science, Bayan University, Erbil, Iraq, 2015. [2] P. B. Devkar, V. H. Barkade, and S. S. Kuchekar, “Accident Prevention System,” 2017. [3] M. G. Vinod and B. Durdi, “Collision Avoidance in Vehicles Using CAN,” Jun. 2022. [4] N. Kuttukkaran, A. George, and M. Hardas T. P., “Intelligent Accident Detection and Alert System for Emergency Medical Assistance,” Department of Electronics and Communication, Cochin University of Science and Technology, Kerala, 2017.  

Editorial & Review Transparency

Publication Date

4/28/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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