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Real-Time Notification System for Enhanced Emergency Response and Road Safety

Guardado en:
Publicado en:The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2025), p. 1-5
Autor principal: Deoghare, Radha
Otros Autores: Deshmukh, Sphurti, Tawade, Shradha, Kolambe, Sapana, Pagar, Rakhi
Publicado:
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Materias:
Data base management systems
Emergency vehicles
Performance evaluation
Roads & highways
Traffic safety
Applications programs
Route optimization
Traffic delay
Optimization
Mobile computing
Situational awareness
Emergency response
Traffic accidents & safety
Databases
Traffic congestion
Tracking
Real time
Client server systems
Emergency preparedness
Data reduction
Economic
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Resumen:Conference Title: 2025 9th International Conference on Computing, Communication, Control and Automation (ICCUBEA)Conference Start Date: 2025 Aug. 22Conference End Date: 2025 Aug. 23Conference Location: Pune, IndiaEfficient emergency response and road safety are critical for saving lives, yet traffic congestion and delayed driver reactions often hinder emergency vehicle movement. This paper proposes a Real-Time Emergency Vehicle Notification System leveraging GPS tracking, WebSocket communication, and proximity-based alerts to enhance emergency response times. The system employs a client-server architecture with Flutter-based mobile applications for ambulance drivers, users, and hospitals. Real-time location updates and notifications are delivered with minimal latency, enabling faster route clearance and improved situational awareness. Optimized database management and load balancing ensure scalability and reliability, while integration with Google Maps API supports accurate ETA predictions and dynamic route optimization. Performance evaluations demonstrate significant improvements in notification delivery times, reduced database writes, and enhanced emergency vehicle tracking efficiency compared to traditional systems. This solution represents a step toward smarter urban mobility by minimizing delays and optimizing emergency response operations.
DOI:10.1109/ICCUBEA65967.2025.11283753
Fuente:Science Database