Paper Title
VEHICLE ACCIDENT PREVENTION AND DETECTION ALERT SYSTEM
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Registration ID: IJNRD_325325
Published ID: IJNRD2605519
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Keywords
IoT, GPS Tracking, GSM 900L, ADXL335 Accelerometer.
Abstract
Road traffic accidents are one of the major causes of mortality and morbidity around the world, where India contributes a relatively higher number of deaths compared to other countries. One of the major reasons leading to fatalities after accidents is the delay in the arrival of help. The Vehicle Accident Prevention and Detection Alert System, presented here, helps bridge this gap and save lives by providing an advanced warning system based on IoT technology. For accident detection, this system incorporates an ADXL335 three-axis accelerometer that senses rapid vibration due to any kind of impact, GSM 900L module sends instant messages about any crash detected to emergency numbers, a GPS chip for determining location, an ultrasonic sensor works as pre-impact warning system at close distances and MQ-3 alcohol sensor detects presence of alcohol in the blood of the driver before starting the engine. These sensors are interfaced with a microcontroller board (Arduino or ESP32), which processes all the data received from the sensors. The results show that the system is able to detect accidents in just 2-3 seconds and can send geo-referenced instant message alerts to the concerned numbers along with giving sound alerts just one meter away from impact.
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How To Cite (APA)
Himani Rawat, Satyam Kumar, Amit Chamoli, Hemant Kumar, & Adarsh Raj (May-2026). VEHICLE ACCIDENT PREVENTION AND DETECTION ALERT SYSTEM. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 11(5), f159-f165. https://ijnrd.org/papers/IJNRD2605519.pdf
Issue
Volume 11 Issue 5, May-2026
Pages : f159-f165
Other Publication Details
Paper Reg. ID: IJNRD_325325
Published Paper Id: IJNRD2605519
Research Area: Other area not in list
Author Type: Indian Author
Country: Dehradun, Uttarakhand, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2605519.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2605519
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