Smart Ambulance System Using Internet of Things: A Rumination

2019 ◽  
Vol 16 (10) ◽  
pp. 4249-4254
Author(s):  
Neelam Dahiya ◽  
Meenu Garg ◽  
Sheifali Gupta ◽  
Deepali Gupta
Keyword(s):  
Internet Of Things ◽  
Comparative Study ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Movement Control ◽  
Ambulance Service ◽  
Emergency Vehicle ◽  
The World

Currently, the traffic management is a foremost concern all over the world. Particularly in India, due to expanding urban populace and the quantity of vehicles, traffic congestion issues are increasing rapidly. Traffic congestion has become a major problem which affects the ambulance service to reach the hospital on time. With the advancement of technology, many solutions have been developed to curb this serious issue to save patient life. The IoT has the capacity to improve the scenario. The goal of 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. To discover the appropriate response of this issue, comparative study of the literature of last few years has been reviewed.

scholarly journals Automatic traffic light controller for emergency vehicle using peripheral interface controller

2019 ◽  
Vol 9 (3) ◽  
pp. 1788 ◽  
Author(s):  
Norlezah Hashim ◽  
Fakrulradzi Idris ◽  
Ahmad Fauzan Kadmin ◽  
Siti Suhaila Jaapar Sidek
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Emergency Situation ◽  
Light Signal ◽  
Emergency Vehicle ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
Light Area ◽  
On The Road

Traffic lights play such important role in traffic management to control the traffic on the road. Situation at traffic light area is getting worse especially in the event of emergency cases. During traffic congestion, it is difficult for emergency vehicle to cross the road which involves many junctions. This situation leads to unsafe conditions which may cause accident. An Automatic Traffic Light Controller for Emergency Vehicle is designed and developed to help emergency vehicle crossing the road at traffic light junction during emergency situation. This project used Peripheral Interface Controller (PIC) to program a priority-based traffic light controller for emergency vehicle. During emergency cases, emergency vehicle like ambulance can trigger the traffic light signal to change from red to green in order to make clearance for its path automatically. Using Radio Frequency (RF) the traffic light operation will turn back to normal when the ambulance finishes crossing the road. Result showed the design is capable to response within the range of 55 meters. This project was successfully designed, implemented and tested.

scholarly journals GSM And IoT Based Smart Traffic System With Geofencing

10.31645/16 ◽  
2020 ◽  
Author(s):  
Muhammad Fahees Ghouri ◽  
Keyword(s):  
Traffic Control ◽  
Traffic Congestion ◽  
Location Based Services ◽  
Daily Routine ◽  
Emergency Vehicle ◽  
Traffic System ◽  
The Road ◽  
The World ◽  
Cloud Computation ◽  
Smart Traffic

Abstract— This project is aimed at resolving severe traffic congestion in most cities across the world by using latest technologies. The world is heading towards IoT and shifting daily routine manual processes to automatic systems. Current traffic control system is based on fixed timer which becomes one of the main reasons of transport blockage. In order to overcome this problem, a framework has been designed to introduce the concept of smart traffic system which includes Internet of Things. The road side sensors attached to the Arduino Mega send information to the cloud using NodeMCU where decision is taken based on density, hence involving cloud computation to turn a particular signal green. Moreover, we have also dealt with emergency vehicles which bears the facility of turning signal green using either RFID system or GSM based mobile. Sound sensors are placed to confirm that the signal return to normal condition once the emergency vehicle has crossed the signal. Lastly, a geofencing based marketing app called “Brando” has been designed using android studio to provide location-based services from the nearest stations like shopping malls to the people on road on their respective mobile phones.

scholarly journals Emergency Vehicle Priority Based System

2021 ◽  
pp. 377-382
Author(s):  
Sarfraz Ahmad ◽  
K. C. Maurya
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Green Light ◽  
Emergency Vehicle ◽  
Current Case ◽  
Traffic Lights ◽  
Current State ◽  
Emergency Vehicles ◽  
Vehicle Information ◽  
Police Cars

Every country's vehicular traffic is increasing, growing, and there is terrible traffic congestion at intersections. In the current case, most traffic lights have a fixed light sequence, so green light sequence is to determine with-out taking priority vehicles into account. As a result, priority crews such as police cars, ambulances, fire engines are still unable to perform, get stuck in traffic and come in late, which can result in the loss of valuable property and life, which does happen on occasion. The green light sequence is evaluated given the current state of traffic, without taking into account the existence of emergency vehicles. Our aim to this paper is to present a mechanism for scheduling emergency vehicles. It is provided to important such as access control protocol to convey emergency vehicle information to the Traffic Management Center (TMC) with time delay and to all alerts while using GPS techniques for acquiring emergency vehicle information. Only then is the emergency vehicle quickly dispatched, and the destination is reached on time. It would be helpful in the future for the prominence of casual vehicles.

Dynamic Routing of Emergency Vehicles with Traffic Management System and Implementation on CupCarbon for Smart Cities

2021 ◽  
Vol 9 (11) ◽  
pp. 1407-1412
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Management System ◽  
Smart Cities ◽  
Maximum Speed ◽  
Emergency Vehicle ◽  
Traffic Light ◽  
Emergency Vehicles ◽  
Traffic Management System ◽  
On The Road

The traffic congestion is one of the major problems in crowded cities, which causes people to spend hours on the road. In traffic congestion situations, finding alternate routes for emergency vehicles, which provides shortest travel time to nearby hospital is critically life-saving issue. In this paper, we propose a traffic management system and an algorithm for routing of an emergency vehicle. The algorithm uses distance between source and destination, maximum vehicle count, maximum speed, average speed, traffic light conditions on the roads, which are assumed to support vehicle-to-infrastructure (V2I) communication in 5G IoT network. Simulations are performed on CupCarbon IoT simulator platform for various test scenarios. The performance of the proposed emergency vehicle routing algorithm is compared against well known Link State algorithm. And, the results demonstrate the effectiveness of the proposed method.

scholarly journals A Review on Minimization of Ambulance Response Time Using Image Processing and Critical path Mapping Based on Traffic Con-trol

2021 ◽  
Vol 2 (2) ◽  
pp. 1-7
Author(s):  
Shuja Rafiq ◽  
Keyword(s):  
Image Processing ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Critical Path ◽  
Machine Learning Techniques ◽  
Emergency Vehicle ◽  
Real Time Traffic ◽  
Traffic Management System ◽  
Process Work ◽  
Economic Developments

India is a developing country; the population of India is growing exponentially. India ranks 2nd in the world in terms of population. As there will be a gradual increase in population there will be an increase in the number of vehicles, as a result of which traffic congestion is increasing and as a result, emergency vehicles such as ambulances, fire-fighters, etc. are having difficulty getting to their destination on time. Vehicle use is growing rapidly due to recent technological and economic developments, and at the same time, the lack of infrastructure against demand is leading to an increase in the number of accidents and fatalities. Minor problems in our health system have prompted us to come up with a petition to make this process work and save lives. Through book reviews and reflections, I have proposed a project in a smart traffic management system using image processing. The aim of this project is to improve simulation to determine traffic congestion, to detect a crash/accident, and to obtain an ambulance using image processing and machine learning techniques. The proposed independent work is simulated in the form of an experimental setup using Arduino and LED displays that mimic real-time traffic. These simulation results reflect the terms of the acquisition as it provides an emergency vehicle pass to catch up on peak hours.

scholarly journals Intelligent Emergency Vehicle Preemption Using A Density Based System

2018 ◽  
Vol 7 (3.12) ◽  
pp. 572
Author(s):  
Voruganti Anirudh ◽  
M Neelaveni Ammal ◽  
Datla Suryatej ◽  
A V Satvik
Keyword(s):  
Traffic Control ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Emergency Vehicle ◽  
Fire Brigade ◽  
Traffic Jams ◽  
Signal Light ◽  
The World ◽  
Emergency Vehicles ◽  
Traffic Prioritization

Transit by road is one of the crude methods of transportation in various parts of the world as of today. The abundance of vehicles utilizing the street is expanding in an ascending order consistently. Because to this reason, traffic congestion in urban areas is becoming inescapable these days. The normal purpose behind traffic blockage is because of poor traffic prioritization, wherein a portion of the paths may have less traffic than the others with measure up to signal light length for both the paths. This Inefficient administration of traffic leads to wastage of crucial time, contamination, wastage of fuel, expenditure of transportation and worry to drivers, and so on however more vitally emergency vehicles like rescue vehicle stall out in traffic. Our project is on density based traffic control with the need to prioritize vehicles like emergency vehicle and fire brigade. In this way, it is especially important to plan a system to keep away from the setbacks. In this way counteracting mishaps, impacts, and traffic jams.  

scholarly journals Traffic Signal Controlling using Sift Algorithm

2019 ◽  
Vol 8 (3) ◽  
pp. 5725-5727
Keyword(s):  
At Risk ◽  
Traffic Congestion ◽  
Traffic Signal ◽  
Emergency Vehicle ◽  
Sift Algorithm ◽  
Vehicle Theft ◽  
The World ◽  
Slow Moving ◽  
Two Wheeler ◽  
Populous Country

India is the second most populous country in the world. So there are large no vehicles eventually cause traffic congestion in India. Congestion is the slow moving of vehicles in traffic. Traffic congestion was the main problem in India. Due to traffic congestion, the emergency vehicle doesn’t reach its destination very quickly so many lives are at risk. In this traffic congestions, two-wheeler riders don’t even wear a helmet which risks there life they don’t even care about their life. Due to a large number of vehicles, there is the most number of vehicle theft case registered. So the security for vehicles was decreased.

A Study of Internet of Things: Architectural Perspective

2018 ◽  
Vol 6 (8) ◽  
pp. 351
Author(s):  
Prasant Sharma ◽  
Alka Agrawal
Keyword(s):  
Internet Of Things ◽  
Fear Of Failure ◽  
Human Intervention ◽  
It Industry ◽  
The World ◽  
Architectural Perspective

Be it industry or academia, Internet of the Things (IoT) has become buzzword today. Everyone is expecting a system of gadgets controlled by web without human intervention. The concept has opened many possibilities and a fear of failure too. All over the world the research is going on and few organizations have already started implementing the concept at a small level. But the available research is still immature and undirectional. The area is very young, the research too. Hence there is a need to develop an IoT architecture which is universally acceptable by various IoT objects as well as server.  To facilitate with the need, the paper presents a novel IOT architecture. In addition, the interaction of IoTobjects with each other has been discussed alongwith connection of a server’s infrastructure with another server’s infrastructure through API gateway.

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