Emergency Response Enhancement: AI-Driven Ambulance Traffic Coordination

This project presents an advanced Ambulance Assistance System designed to reduce delays in emergency medical response, particularly within congested urban environments. Unlike conventional approaches that rely heavily on manual communication, the system integrates Artificial Intelligence (AI) and Internet of Things (IoT) technologies enable continuous monitoring and automated coordination between ambulances and traffic management authorities. Using GPS-based tracking and intelligent detection mechanisms, the system identifies situations where an ambulance remains stationary for more than 30 seconds. In such cases, automated alerts are immediately sent to nearby traffic control units to facilitate rapid clearance. The system also supports manual alert activation, allowing ambulance drivers to signal authorities when additional assistance is required. An AI-driven safety feature further strengthens the solution by enabling accident victims or bystanders to initiate an emergency call simply by holding the device’s volume button. This action automatically triggers an emergency call and transmits live GPS coordinates to the relevant authorities, helping ensure swift intervention even when direct communication may.