An Automated Emergency Alert System via RF Frequency Shift and Real-Time Location Tracking

Before large-scale deployment, the prototype will undergo rigorous simulation using software like MATLAB to model electromagnetic interference and vehicular structural impacts on RF signals. Following successful simulations, controlled field testing will be conducted using scale models of vehicles to calibrate the exact threshold frequency deviation required to eliminate false positives from routine environmental noise. This systematic progression from theory to a physical IoT prototype will solidify the system’s viability for real-world highway implementation.  

[1]   H. Hartenstein and K. Laberteaux, VANET: Vehicular Applications and Inter-Networking Technologies, Wiley, 2010.   [2]   World Health Organization, Global Status Report on Road Safety, Geneva, Switzerland, 2023.   [3]   M. Abuelela, "Real-Time Accident Detection and Notification System Using GPS and GSM Technologies," International Journal of Computer Applications, vol. 97, no. 12, pp. 15–20, 2014.   [4]   A. K. Sharma and R. Singh, "IoT-Based Smart Vehicle Monitoring and Accident Detection System," IEEE Conference Proceedings, 2019.   [5]   IEEE, IEEE Standard for Wireless Access in Vehicular Environments (WAVE), IEEE 1609 Series.   [6]   S. Misra et al., "Wireless Sensor Networks for Road Safety Applications," IEEE Communications Surveys & Tutorials, vol. 16, no. 1, pp. 1–15, 2015.   [7]   National Highway Traffic Safety Administration, Emergency Response and Crash Notification Systems Report, U.S. Department of Transportation, 2022.   [8]   N. Javaid et al., "An Efficient IoT-Based Accident Detection and Reporting Framework," Sensors Journal, vol. 20, no. 11, 2020.   [9]   NEO-6M GPS Module Technical Datasheet, u-blox AG, Switzerland . [10]   ESP32 Technical Reference Manual, Espressif Systems, 2024.