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.

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 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 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.  

“Utopia First!” A Machiavellian Conception of Solidarity in More's Utopia

Moreana ◽  
2018 ◽  
Vol 55 (Number 209) (1) ◽  
pp. 79-93
Author(s):  
Marie-Claire Phélippeau
Keyword(s):  
At Risk ◽  
Human Beings ◽  
Farm Work ◽  
The World ◽  
Social Difficulties ◽  
The Republic ◽  
The Individual ◽  
Democratic Elections ◽  
Communal Organization

This paper shows how solidarity is one of the founding principles in Thomas More's Utopia (1516). In the fictional republic of Utopia described in Book II, solidarity has a political and a moral function. The principle is at the center of the communal organization of Utopian society, exemplified in a number of practices such as the sharing of farm work, the management of surplus crops, or the democratic elections of the governor and the priests. Not only does solidarity benefit the individual Utopian, but it is a prerequisite to ensure the prosperity of the island of Utopia and its moral preeminence over its neighboring countries. However, a limit to this principle is drawn when the republic of Utopia faces specific social difficulties, and also deals with the rest of the world. In order for the principle of solidarity to function perfectly, it is necessary to apply it exclusively within the island or the republic would be at risk. War is not out of the question then, and compassion does not apply to all human beings. This conception of solidarity, summed up as “Utopia first!,” could be dubbed a Machiavellian strategy, devised to ensure the durability of the republic. We will show how some of the recommendations of Realpolitik made by Machiavelli in The Prince (1532) correspond to the Utopian policy enforced to protect their commonwealth.

Proposal and implementation of parking guidance method

Impact ◽  
2019 ◽  
Vol 2019 (10) ◽  
pp. 12-14
Author(s):  
Akira Kawai ◽  
Masahiro Kenmotsu
Keyword(s):  
Traffic Congestion ◽  
Positional Information ◽  
Associate Professor ◽  
Parking Lots ◽  
Gps Technology ◽  
The World ◽  
Car Park ◽  
Free Spaces ◽  
Interest In Research ◽  
Gain Access

Traffic congestion in parking lots is a common phenomenon across the world and larger commercial facilities with multiple parking areas may be particularly affected as many users struggle to gain access to sought-after parking spots close to their destinations. These popular zones often see traffic jams forming as many vehicles arrive within these regions, while less popular areas may remain free from congestion. This creates a very uneven distribution of traffic, with motorists in popular areas becoming trapped and unable to leave bottleneck regions. As a result, the car park management industry has taken an interest in research into parking guidance. Parking guidance has been developed to help improve efficiencies in car parks, guiding drivers to specific spaces using GPS technology to highlight free spaces near their location detailing the most efficient way to get to that spot. Associate Professor Akira Kawai, who is based at Shiga University in Japan, has been working on a KAKEN project that seeks to leverage real-time positional information to help guide drivers to free spaces within parking lots.

Un Kilo de Ayuda

2018 ◽  
Author(s):  
Mary Kay Gugerty ◽  
Dean Karlan
Keyword(s):  
At Risk ◽  
Impact Evaluation ◽  
Health Problems ◽  
Health Data ◽  
Outcome Data ◽  
Monitoring Data ◽  
Program Monitoring ◽  
At Risk Children ◽  
The World ◽  
The Right

This case explores two common challenges facing organizations around the world: how to collect the right amount of data, and how to credibly use outcome data collected during program monitoring. Health promoters at Un Kilo de Ayuda (UKA) in Mexico use regularly collected health data on more than 50,000 children to structure their work, track their progress, and identify at-risk children in time to treat health problems. In this case, readers will assess the tradeoffs between actionability and responsibility that UKA faces in determining how much data to collect. They will also examine the challenges of monitoring data on a program’s outcomes instead of outputs, particularly when it comes to asserting a program’s impact on those outcomes. Finally, readers will propose ways to generate credible data on one of the organization’s programs when plans for an impact evaluation fall through.

scholarly journals High-Tech Training for Birds of Prey

Animals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 530
Author(s):  
Giovanni Granati ◽  
Francesca Cichella ◽  
Pia Lucidi
Keyword(s):  
At Risk ◽  
Wild Bird ◽  
Muscular Strength ◽  
Risk Groups ◽  
Birds Of Prey ◽  
High Tech ◽  
Training Method ◽  
Top Predators ◽  
The World ◽  
Modern Technologies

Raptors are some of the most at-risk groups of birds in the world and saving these top predators is essential for maintaining the health of many ecosystems. After hospitalization, raptors are often released when muscular recovery is still unfitting when they are unable to hunt efficiently and are at risk of dying from starvation within a few days. On the other hand, if a convalescent bird is trained with the only use of classic falconry techniques, it is likely to remain dependent on the caretaker/falconer even long after the release, so unable to hunt independently. To overcome these problems, a new training method was conceived, which could improve raptors’ muscular strength while limiting habituation to humans. This has been possible due to the combination of classic falconry techniques and modern technologies, such as the introduction of specific workouts with drones. Three falconry raptors and one wild Eurasian hobby were trained through high-tech falconry to develop the ability to catch, grasp, and airlift their prey at a different speed, altitude, and resistance. The main findings of this study were: (i) The rapid increase of the raptors’ speed; (ii) the muscular growth and endurance, and (iii) successful reintroduction of a wild bird.

Smart Traffic Light System

2021 ◽  
Vol 9 (9) ◽  
pp. 679-686
Author(s):  
Rashi Maheshwari
Keyword(s):  
Traffic Congestion ◽  
Traffic Signals ◽  
Traffic Monitoring ◽  
Traffic Signal ◽  
Traffic Signal Control ◽  
Traffic Light ◽  
Mathematical Functions ◽  
Light System ◽  
Smart Traffic ◽  
And Control

Abstract: Traffic signal control frameworks are generally used to monitor and control the progression of cars through the intersection of roads. Moreover, a portable controller device is designed to solve the issue of emergency vehicles stuck in overcrowded roads. The main objective of this paper is to design and implement a suitable algorithm and its simulation for an intelligent traffic signal simulator. The framework created can detect the presence or nonappearance of vehicles within a specific reach by setting appropriate duration for traffic signals to react accordingly. By employing mathematical functions and algorithms to ascertain the suitable timing for the green signal to illuminate, the framework can assist with tackling the issue of traffic congestion. The explanation relies on recent fixed programming time. Keywords: Smart Traffic Light System, Smart City, Traffic Monitoring.

DEMOGRAPHY PROBLEMS OF ECONOMIC GROWTH IN CHINA

2021 ◽  
pp. 129-146
Author(s):  
Elena Pekhtereva ◽  
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Population Growth ◽  
Labour Force ◽  
Chinese Government ◽  
Demographic Situation ◽  
The World ◽  
Socio Economic Development ◽  
Populous Country ◽  
Low Rate

The review examines the results of the December 2020 official census of the population of China, the most populous country in the world. It is noted that the Chinese government is seriously concerned about the low rate of population growth. The authorities fear that a slowdown in population growth and its aging while the size of the labour force is decreasing may seriously slow down economic growth. The opinions and statements of analysts on the prospects of the demographic situation in China in the context of its socio-economic development are presented.

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