What question did this study set out to answer?

To evaluate an intelligent IoT-based framework aimed at reducing pre-hospital mortality in road traffic accidents in India.

April 7, 2026Open Access

VAAR: Vehicle Automated Alert and Response System - An IoT-Based Intelligent Emergency Response Framework for Reducing Pre-Hospital Mortality in Indian Road Accidents

Key Points

To evaluate an intelligent IoT-based framework aimed at reducing pre-hospital mortality in road traffic accidents in India.
Developed an IoT-based system (VAAR) used for crash detection and alerts.
Utilized MEMS accelerometer, GPS, OBD-II vehicle data, and GSM communication.
Tested across 159 controlled events on Durgapur-Kolkata NH-2.
Achieved 93.3% accuracy in crash detection.
Maintained a low false positive rate of 0.69%.
Alerts dispatched in under 30 seconds after collision.
Projected to save 35,000-40,000 lives annually with 50% deployment.

Abstract

Road traffic accidents represent India's most critical public health emergency, claiming 1,68,491 lives annually (MoRTH 2023). A staggering 73% of fatalities occur before hospital reach due to average response delays of 18-22 minutes in urban areas. This paper presents VAAR (Vehicle Automated Alert and Response System), an IoT-based embedded system that automatically detects crashes and simultaneously alerts hospitals, police, ambulance, and family within 30 seconds of impact. KEY TECHNICAL ACHIEVEMENTS: - Crash detection: 93.3% accuracy - False positive rate: 0.69% - Alert time: Under 30 seconds - Languages: 12 Indian languages - Network: 2G/3G/4G fallback - Compliance: AIS-140 certified - Cost: Rs. 2,080 manufacturing METHODOLOGY: MEMS accelerometer (MPU-6050) with 2.5G threshold, GPS location (NEO-8M), OBD-II vehicle data (ELM327), and GSM communication (SIM800L) tested across 159 controlled events on Durgapur-Kolkata NH-2. IMPACT: Projected 35,000-40,000 lives saved annually at 50% national deployment. Economic ROI: 6.35x. Author: Arfat Ali Institution: DIATM Durgapur, West Bengal - 713212, India Email: arfatali759@gmail.com

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Cite This Study

Arfat Yasir Ali (Sun,) studied this question.

synapsesocial.com/papers/69d49f8ab33cc4c35a227fdc https://doi.org/https://doi.org/10.5281/zenodo.19431043

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