SMART EMERGENCY VEHICLE ALERT SYSTEM USING ML & IoT

Abstract: This paper presents a Smart Emergency Vehicle Alert System using Machine Learning (ML) and Internet of Things (IoT) technologies to improve road safety and reduce response time for emergency vehicles such as ambulances, fire trucks, and police vehicles. The system uses IoT sensors and GPS modules to detect the real-time location of emergency vehicles and communicates with nearby vehicles and traffic signals. Machine Learning algorithms analyze traffic patterns and predict optimal routes, while alerting nearby drivers through mobile applications or in-vehicle systems. The proposed system reduces traffic congestion, prevents accidents, and ensures faster emergency response. It provides a scalable, real-time, and intelligent solution for smart city traffic management.

Keywords: Emergency Vehicle Detection, IoT, Machine Learning, Smart Traffic System, GPS Tracking, Road Safety