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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68070
Volume:
10 |
10 |
Oct 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
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.
Department of Computer science and Engineering
Vidarbha Institute of TEchnology
Department of Computer science and Engineering
Vidarbha Institute of TEchnology
Delays in reporting road accidents can hinder timely medical assistance, particularly when victims are unable to call for help or an accident occurs in an isolated location. This paper presents an Internet of Things (IoT)-based road accident detection and emergency alert system that combines motion and impact sensing with GPS positioning and GSM communication. An Arduino Uno microcontroller reads data from an accelerometer and a vibration sensor. Sensor readings are compared with predefined thresholds, and an abnormal event is treated as a potential accident after a verification step. The system then obtains latitude and longitude from a GPS module and sends an SMS alert through a GSM module to predefined emergency contacts. The thesis underlying this paper describes simulated tests involving normal operation, vibration, tilt, and impact. These tests are reported to have triggered alerts under abnormal conditions while avoiding alerts during normal conditions. However, numerical measurements of detection accuracy, latency, false-positive rate, and sample size are not provided; therefore, the findings should be interpreted as preliminary functional observations rather than a statistically validated evaluation. The proposed design offers a practical prototype for automated accident notification, with future scope for machine-learning-based classification, mobile and cloud integration, and field testing.
KEYWORDS
This paper presented an IoT-based road accident detection and emergency alert prototype using an Arduino Uno, motion and vibration sensors, GPS, and GSM. Its intended workflow monitors vehicle conditions, detects abnormal sensor readings, obtains location coordinates, and sends an SMS to predefined contacts. The underlying thesis reports successful qualitative tests for simulated vibration, tilt, and impact events, with no alert reported during normal test conditions. The current evidence supports a preliminary functional demonstration, but not a quantified claim of high accuracy or reduced mortality. Future work should make the detection algorithm reproducible, implement complete GPS parsing and communication-failure handling, and evaluate the prototype using measured performance metrics and real-world trials. With these improvements, the design could contribute to a broader vehicle-safety and emergency-notification system.
[1] World Health Organization, Global Status Report on Road Safety, Geneva: WHO, 2023. Verify the exact edition and publication details. [2] S. Kumar and R. Gupta, “IoT Based Accident Detection and Alert System,” Journal of Engineering Research and Technology, vol. 10, no. 5, pp. 120–124, 2022. Bibliographic details reproduced from the source thesis; verify before submission. [3] A. Sharma, “Smart Vehicle Accident Detection System Using GPS and GSM,” International Journal of Computer Applications, vol. 180, no. 32, pp. 15–19, 2021. Bibliographic details reproduced from the source thesis; verify before submission. [4] P. Singh and M. Verma, “Accident Detection and Alert System Using Arduino,” International Conference on IoT and Embedded Systems, pp. 45–49, 2020. Verify publication details. [5] R. Kumar, “Vehicle Accident Detection and Reporting System Using IoT,” International Journal of Advanced Research in Computer Science, vol. 11, no. 3, pp. 55–60, 2020. Verify publication details. [6] Arduino, “Arduino Uno Technical Specifications,” Arduino Documentation, 2024. Consult the official documentation for the version used. [7] SIMCom Wireless Solutions, “SIM800 GSM/GPRS Module AT Command Manual,” 2022. Verify the module variant and document revision. [8] u-blox AG, “NEO-6 GPS Module Data Sheet,” 2021. Verify the official document revision. [9] M. Patel and S. Shah, “Automatic Accident Detection System Using MEMS Sensor,” International Journal of Engineering Science, vol. 9, no. 2, pp. 78–82, 2019. Bibliographic details reproduced from the source thesis; verify before submission. [10] N. Jain, “IoT Based Smart Vehicle Monitoring System,” International Journal of Innovative Technology and Exploring Engineering, vol. 8, no. 6, pp. 1023–1027, 2019. Verify publication details.
Publication Date
10/17/2026
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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