Paper Contents
Abstract
Efficient emergency response is critical for saving lives and minimizing injury severity. A major challenge in ambulance dispatch is detecting ambulances and managing traffic signals at intersections. This paper proposes an Intelligent Ambulance Detector and Signal Control System using Radio-Frequency Identification (RFID) technology to enhance emergency response. The system features RFID readers at intersections that detect ambulances equipped with RFID tags. Artificial intelligence (AI) and machine learning analyze real-time data from these readers, predicting ambulance arrival at intersections. Based on this data, traffic signals are automatically adjusted to grant ambulances priority, reducing delays and improving response times. Key benefits of this system include reduced congestion, faster ambulance movement, and improved safety for emergency responders and road users. The system can also integrate with existing emergency management frameworks, ensuring seamless coordination between ambulances, traffic authorities, and hospitals. This study outlines the systems design, key components, and technical aspects, along with a performance evaluation. The results indicate accurate ambulance detection and efficient traffic signal control, highlighting the systems potential to revolutionize emergency response in urban environments.Keywords: RFID Technology, Intelligent Ambulance Detector, Signal Control System, Emergency Response Management
Copyright
Copyright © 2025 Riya Torane. This is an open access article distributed under the Creative Commons Attribution License.
