Emergency Ambulance Service Framework Using PSO and RFID

Abstract

The critical patient movement to the hospital requires a reduction in ambulance travel time to provide quality health care to the patient. To achieve this goal, our work uses two advanced technologies: Particle Swarm Optimization (PSO) and Radio Frequency IDentification (RFID). Particle swarm optimization algorithm helps in route optimization to locate the nearest ambulance for emergency patient calls. The RFID innovation is utilized to execute shrewd traffic light control. RFID introduced at traffic light tracks RFID labeled rescue vehicles and sends the information to the cloud. Thus, the implementation of this work is to have optimized method for the ambulance selection and ease of ambulance movement at the road intersection. This developed prototype system model with RFID and PSO technologies works as supporting traffic management aid in critical patient movement.