Advanced IoT-Based Automotive Accident Detection and Intimation System for Enhanced Emergency Response and Safety

Abstract : Road traffic accidents are one of the leading causes of death and severe injury globally, primarily due to delayed emergency responses. The time immediately following a traumatic injury, known as the "golden hour," is critical for administering medical aid, significantly enhancing survival rates. To address the urgent need for rapid response mechanisms, this paper presents an advanced Internet of Things (IoT)-based Automotive Accident Detection and Intimation (ADI) system. The proposed system leverages a combination of embedded and connected smartphone sensors to detect vehicular collisions and assess accident severity with high precision. A microcontroller unit interfaces with various sensors—such as accelerometers, gyroscopes, and environmental monitors—as well as GPS technology to track vehicle movement and conditions. Upon detecting a probable accident, the system autonomously triggers an alert mechanism that transmits real-time data, including GPS coordinates and sensor information, to a centralized server. This information is promptly relayed to emergency response units such as ambulances, police stations, hospitals, and fire departments, along with notifying a pre registered emergency contact. The system architecture ensures minimal human intervention, thereby reducing response time and increasing reliability. Additionally, the platform includes a remote server interface that enables real-time monitoring and analysis of incident data. By enhancing accident detection accuracy and reducing the latency in emergency communication, the ADI system has the potential to save lives and minimize post-accident trauma. This research contributes to the advancement of intelligent transportation systems and paves the way for safer, smarter vehicular technologies.

Keyword Keywords- Internet of Things (IoT), Accident Detection, Golden Hour, Emergency Notification, Smart Vehicle, Sensor Fusion, GPS Tracking, Intelligent Transportation System (ITS).