A Review on Integrated IoT-Based System for Real-Time Accident Detection and Smart Ambulance Deployment

Motorcycle accidents are at the forefront of leading accidental deaths among the youth, with a rapid response being crucial for decreasing fatalities. Many current systems fail to meet ability in speedy detection of accidents and accurate reporting. They are also found inefficient in taking an emergency hospital response. The problem above has triggered the research and development of this study, Emergency Request Response and Management System (ERMS), which integrates real-time accident detection, rapid response, and effective emergency management. ERMS employs both vibration and accelerometer sensors, which act in a dual functionality, with AcciDet TracSys detecting sudden changes in motion to ascertain accidents and AcciAddr TracSys sending critical information like location coordinates and details on the accident via GPS. This data is immediately sent and shared with emergency responders and registered person contacts for quick medical help. The system also works with smart ambulances that guide their route using real-time GPS to reduce time. More than other systems, it integrates a coordinated approach that greatly improves the speed of response and increases the probabilities of survival. This paper discusses the working principle of ERMS, methods of detection, and communication, showing how the external world can make roads safer; it saves lives.