Paper Contents
Abstract
ABSTRACT Urban traffic congestion remains a major obstacle to emergency medical services, often leading to delays in critical care. This project introduces an IoT-enabled smart ambulance system that combines real-time traffic management, hospital communication, and advanced patient monitoring. Using sensors like LM35, MAX30100, and a pulse sensor, the system monitors key health parameters such as temperature, heart rate, blood pressure, and SpO. Patient details including name, age, blood group, and blood pressure are entered via a web interface hosted on the ESP8266 microcontroller and transmitted to the hospital, where they are displayed along with sensor readings on the Blynk dashboard. The system also features accident detection using the MPU6050 accelerometer, which triggers buzzer alerts and emergency SMS notifications. Additionally, a push button is used to send SMS alerts to traffic control systems for clearing signals and prioritizing ambulance movement. The system proved successful in real-time data display, cloud integration, and emergency alerting, both on the LCD and the Blynk platform. With its modular, cost-effective, and scalable design, it is suitable even for resource-constrained settings. This IoT-based solution improves pre-hospital care, speeds up emergency response, and enhances coordination between hospitals, ambulances, and traffic management authorities.Keywords: Emergency Medical Services, Intelligent Traffic Control, Patient Monitoring, Real-time Data, ESP8266 Microcontroller, Cloud Platform.
Copyright
Copyright © 2025 ABHINAV C. This is an open access article distributed under the Creative Commons Attribution License.
