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Smart city article details
| Title | Efficient Intelligent Smart Ambulance Transportation System Using Internet Of Things |
|---|---|
| ID_Doc | 22333 |
| Authors | Salem Jeyaseelan W.R.; Krishnan R.; Arunkumar M.; Alagarsamy P. |
| Year | 2024 |
| Published | Tehnicki Vjesnik, 31, 1 |
| DOI | http://dx.doi.org/10.17559/TV-20230726000829 |
| Abstract | This research is significant, as traffic jam has become the main challenge in current metropolitan cities. Both in developed and developing nations, it is a concern for an ambulance to carry an emergency patient. Despite the fact, ambulance receives special traffic protocols, it is still challenging that the ambulance reaches the hospital on time. In the context of a smart city, this proposal suggests a smart ambulance management system. If the patient needs an ambulance, the operator finds the nearest emergency vehicle and points it in the patient's direction. The programme dynamically tracks the positions of the ambulances to determine the quickest path to the injured person using maps provided by Google as an external service. Here we are tracking the ambulance with an IR transmitter and the road nearby speed breaker will have IR Receiver. Arduino Node MCU sends the alert message through the Internet of Things (IoT) and Global Positioning System (GPS). Then the necessary action can be taken after conforming to the location at a time. If an ambulance is on a nearby speed breaker, then it will turn automatically to the bottom and the even space will come up. It will give the chance for no need to reduce the speed of ambulance. During system analysis and experimentation, the system's efficiency, and dependability can be enhanced as well as a significant reduction in healthcare costs, a reduction in the number of intermediaries and timely and efficient service, and the avoidance of wasting time. This paper is to examine different IoT techniques for movement control and the different approaches to assist the emergency vehicle to reach nearby healing facility on time. The main focus is on finding the best techniques to reduce the traffic congestion. © 2024, Strojarski Facultet. All rights reserved. |
| Author Keywords | global positioning system; internet of things; node MCU; sensors; traffic lights |
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