International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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The Smart Accident System: An AI-Based Emergency Management System

Author(s) Dr. Pramod R, Mr. Amith N, Ms. Ananya Sarvade, Ms. Ankitha L, Ms. Darshan Surwase
Country India
Abstract Road accidents are one of the leading causes of injuries and fatalities, and a major challenge in modern transportation systems is the delay in detecting accidents and initiating timely rescue responses. Traditionally, accident reporting depends on human witnesses or manual communication, leading to slow response times and potentially severe consequences. This project, Smart Accident Detection and Emergency Response System, presents a software-based real-time simulation platform that automatically generates accident events, visualizes vehicle movement on an interactive map, and performs intelligent routing for emergency response. The system makes use of GPS-based simulated tracking, accident interval generation, vehicle icons, and real-time updates to display accidents, nearby ambulances, and their navigation paths. The platform provides a dynamic dashboard where accidents appear every fixed interval (e.g., 30 seconds), vehicles such as cars and bikes are tracked, and emergency response flow is shown visually. By combining data simulation, mapping APIs, and algorithmic routing, the system demonstrates how an automated accident monitoring environment can support faster rescue operations and improve situational awareness in intelligent transport systems.
Keywords Accident Simulation, Emergency Response, Real-Time Tracking, GPS, Routing Algorithm, Intelligent Transport System.
Field Engineering
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-11
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.62725

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