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
Arfat Yasir Ali (2026) studied this question.