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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 05

Published on: May 2026

VEHICLE ACCIDENT DETECTION AND MONITORING SYSTEM USING DATA ANALYTICS

SADHANA R VINIGA U

PRADEEPA K

Department of Computer Science and Engineering E.G.S.Pillay  Engineering College Nagapattinam Tamilnadu India

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

Road accidents remain one of the major causes of fatalities worldwide, largely due to delayed emergency response and lack of real-time accident information. This paper presents the design and implementation of a Vehicle Accident Detection and Monitoring System (VADS) that enables automatic accident detection and immediate alert transmission to emergency contacts and authorities. The system integrates multiple sensors such as an accelerometer, vibration sensor, impact force sensor, tilt angle sensor, and GPS module to continuously monitor vehicle dynamics. When abnormal parameters such as high G-force, sudden tilt, or strong impact are detected, the system identifies the event as an accident and automatically sends the vehicle’s exact location and status via a communication module. This reduces response time, improves rescue efficiency, and enhances road safety. The proposed system is cost-effective, reliable, and suitable for real-time deployment in vehicles.

Keywords: Accident Detection, Vehicle Monitoring, Accelerometer, GPS Tracking, Emergency Alert System, IoT, Road Safety, Real-time Monitoring

 

How to Cite this Paper

R, S. & U, V. (2026). Vehicle Accident Detection And Monitoring System Using Data Analytics. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i4.1022

R, SADHANA, and VINIGA U. "Vehicle Accident Detection And Monitoring System Using Data Analytics." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.1022.

R, SADHANA, and VINIGA U. "Vehicle Accident Detection And Monitoring System Using Data Analytics." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.1022.

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References

Report on Road Safety,” Geneva, 2023.

[2] National Highway Traffic Safety Administration, “Traffic Safety Facts Annual Report,” U.S. Department of Transportation, 2022.

[3] S. Sharma and R. Mehta, “IoT-Based Vehicle Accident Detection and Alert System,” International Journal of Engineering Research & Technology, vol. 10, no. 5, 2022.

[4] K. Patel, J. Shah, and M. Desai, “Smart Accident Detection and Emergency Response System Using IoT,” Procedia Computer Science, vol. 171, pp. 234–241, 2020.

[5] R. Kumar and P. Singh, “Real-Time Vehicle Accident Detection Using Accelerometer and GPS,” International Journal of Advanced Computer Science and Applications, vol. 11, no. 3, 2020.

[6] A. Verma and S. Srivastava, “Automatic Vehicle Accident Detection and Messaging System Using GSM and GPS,” International Journal of Scientific & Engineering Research, vol. 9, no. 4, 2018.

[7] M. R. Khan and A. Ali, “Accident Detection and Alert System Using Vibration Sensor and Arduino,” International Journal of Innovative Technology and Exploring Engineering, vol. 8, no. 7, 2019.

[8] P. Gupta and N. K. Mishra, “Vehicle Monitoring and Accident Detection System Using IoT,” in Proc. International Conference on Intelligent Systems and Signal Processing, 2021.

[9] T. Nguyen and H. Tran, “Tilt Angle and Impact Force Based Accident Detection System,” IEEE Access, vol. 8, pp. 145623–145632, 2020.

[10] D. Lee and J. Park, “Embedded System for Vehicle Accident Detection Using MEMS Sensors,” Sensors, vol. 19, no. 12, 2019.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
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  • Peer Review Type: Double-Blind Peer Review
  • Published on: May 03 2026
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This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

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