An Intelligent Vehicle Accident Reporting System for Real-Time Emergency Response

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Authors: Dr. Sudhakar Avareddy, H Vaishnavi, Praveen Kumar Naik, Rohan Hiremath, Sanjay U M
Cited by: 0

Abstract

Delays in reporting incidents and bringing in emergency services result in serious injuries from road accidents. These conventional reporting systems are totally dependent on manual communication; thus, the response times are slow, reducing the chances of survival. An Intelligent Vehicle Accident Reporting System is proposed to automatically detect accidents using sensors, capture incident evidence, and send realtime data to emergency responders. This system couples a React-based Progressive Web Application (PWA), GPSbased location tracking, multimedia incident evidence gathering, and automatic multichannel alerts. The backend built in Node.js/Express handles the accident logs, notifications, and storage of data securely with MongoDB featuring geospatial indexing. In addition, some emphases have been laid on low latency, high reliability, and fast dispatch assistance. Experimental evaluation reveals that the average time for incident reporting is around 3–4 seconds, thus justifying the effectiveness of the proposed system in hastening up emergency response workflows.

Fields of Study & Subjects

IoT and GPS-based Vehicle Safety Systems Traffic Prediction and Management Techniques Human Mobility and Location-Based Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 January 2026