Internet of Thing Based Smart Traffic Control Signal Using Solar Energy

2020 ◽  
Vol 17 (12) ◽  
pp. 5334-5338
Author(s):  
V. Kalpana ◽  
S. Shanthi ◽  
A. Sagai Francis Britto ◽  
N. B. Prakash
Keyword(s):  
Solar Energy ◽  
Information And Communication Technologies ◽  
Traffic Control ◽  
Smart Cities ◽  
Traffic Monitoring ◽  
Control Signal ◽  
Raspberry Pi ◽  
Emergency Vehicle ◽  
Smart Traffic ◽  
Internet Of Thing

Nowadays traffic congestion is major problem in all over the cities. The cities are renovated to “smart cities” by using Information and Communication Technologies (ICT). The IoT are playing a vital role in smart cities. This work proposes Internet of Thing (IoT) based smart traffic control signal using solar energy for smart cities. This signal is always coordinated with the emergency vehicle like ambulance to discover the signal and select the route where road traffic is dynamically controlled and the traffic violation vehicles are identified by traffic monitoring officers through internet. The traffic control signal lights are automatically controlled by Raspberry Pi controller with the help of IR sensor and RF signal. If any emergency vehicle will come nearby traffic control signal then the green signal shows for emergency vehicle and the remaining paths are shows as red signal.

Smart Traffic Control: Identifying Driving-Violations using Fog Devices with Vehicular Cameras in Smart Cities

2021 ◽  
pp. 102986
Author(s):  
M. Mazhar Rathore ◽  
Anand Paul ◽  
Seungmin Rho ◽  
Murad Khan ◽  
S. Vimal ◽  
...  
Keyword(s):  
Traffic Control ◽  
Smart Cities ◽  
Smart Traffic

scholarly journals Smart Cities: Transport Challenges of the Macedonian Capital City

2017 ◽  
Vol 8 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Mimoza Bogdanoska Jovanovska ◽  
Daniela Koltovska Nechoska
Keyword(s):  
Information And Communication Technologies ◽  
Traffic Control ◽  
Smart City ◽  
Smart Cities ◽  
Geographic Area ◽  
Control Area ◽  
Capital City ◽  
Future Research ◽  
Starting Point ◽  
The City

Abstract Smart City as a concept presupposes using new information and communication technologies in order to improve the quality of life within a particular geographic area. There are six different pillars in the frame of this concept and their one purpose is to achieve better efficiency of city operations. Smart mobility and transport are some of them. The efforts of traditional cities to become smart are not easily and quickly achievable. Numerous traffic solutions have already been implemented in different cities all over the world that make the ‘jump’ from traditional city to smart city. This paper provides an overview of the ‘smart’ transport solutions that have been implemented in the city of Skopje as a traditional city, which is on its way to becoming a smart city. The presented smart solutions are related to traffic management and control area and are aimed at alleviating traffic problems. The focus is on non-motorized solutions, e-vehicles, adaptive traffic control systems and public transport solutions. Several aims have been set in this paper – to promote the achievements of the municipality of Skopje aimed at transforming Skopje into a smart city in a transport area; to present its functionality, and to point out the disadvantages related to law regulations and the interconnection of all stakeholders involved. Finally, the idea is to provide a starting point for future research and to recommend future steps in this direction in the city of Skopje.

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 Proposed SMART Traffic Control Signal in Brunei Darussalam

2015 ◽  
Vol 15 (2) ◽  
pp. 277
Author(s):  
Bibi Rawiyah Mulung ◽  
Andino Maseleno
Keyword(s):  
Real Time ◽  
Traffic Control ◽  
Traffic Signal ◽  
Control Signal ◽  
Time Signal ◽  
Signal Control ◽  
Traffic Light ◽  
Brunei Darussalam ◽  
Actuated Signal ◽  
Smart Traffic

This paper presents proposed SMART (Systematic Monitoring of Arterial Road Traffic Signals) traffic control signal in Brunei Darussalam. Traffic congestion due to stops and delays at traffic light signals has much been complained about in Brunei Darussalam as well as across the world during the recent years. There are primarily two types of traffic signal controls in Brunei Darussalam. The most common one is the fixed or pre-timed signal operation traffic light and the other one is the actuated signal operation traffic light. Although the actuated signal control is more efficient than the fixed or pre-fixed signal control in the sense that it provides fewer stops and delays to traffic on the major arteries, the best option for Brunei Darussalam would be to introduce smart traffic control signal. This type of traffic signal uses artificial intelligence to take the appropriate action by adjusting the times in real time to minimise the delay in the intersection while also coordinating with intersections in the neighbourhood. SMART Signal simultaneously collects event-based high-resolution traffic data from multiple intersections and generates real-time signal performance measures, including arterial travel time, number of stops, queue length, intersection delay, and level of service. In Brunei Darussalam, where we have numerous intersections where several arterial roads are linked to one another, The SMART signal traffic control method should be implemented.

scholarly journals Automated Pollution Detection System using IoT and AWS Cloud

2019 ◽  
Vol 8 (11) ◽  
pp. 3955-3960
Keyword(s):  
Mobile Application ◽  
Web Application ◽  
Detection System ◽  
Smart Cities ◽  
Traffic Monitoring ◽  
Traffic Lights ◽  
Pollution Detection ◽  
Smart Cars ◽  
Smart Traffic ◽  
The Web

Smart cities are one of the upcoming trends in the world. These smart cities include smart traffic light system, smart cars, smart homes, smart traffic monitoring system. As environmental pollution has become the major cause of various problems like climatic changes, improper irrigation methods, depletion of the ozone layer etc. “Automated Pollution Detection System using IoT and AWS Cloud” provides an architecture for integrating IoT and Cloud Computing and an application which is used to detect air pollution by fitting in arduino devices at public places like traffic lights, industrial areas, construction areas etc., and transferring the data using GSM modem to a cloud database server AWS RDS. The cloud server is linked with the EC2 instance (Ubuntu server) in order to publish the web application using EC2. Web Application which is created using Word press and a Mobile application using Android Studio. The Web application shows the value of pollutant at a particular place along with the map facility by using GPS in the Arduino. This is also linked to a mobile application which sends a push notification service (SNS) to our mobile application

scholarly journals Density based Traffic Control System Embedded with Patient Weightage Method

2019 ◽  
Vol 8 (10S) ◽  
pp. 377-381
Keyword(s):  
Control Systems ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Detection System ◽  
Raspberry Pi ◽  
Emergency Vehicle ◽  
Dynamic Flow ◽  
Smooth Flow ◽  
Emergency Vehicles ◽  
Traffic Control System

Every now and then traffic congestion has always been a hindrance in everyone’s normal life routine. This traffic congestion hindrance is very much problematic in case of high priority emergency vehicles namely ambulances, VIP vehicles, fire engines etc. So, traffic control has to be made proficient to provide smooth flow of vehicles. However, efficient synchronization of traffic at multiple junctions is complex. Conventional control systems do not handle the dynamic flow of traffic which results in chaos. In this project, implementation of an emergency vehicle detection system is done. The main objective is to provide a traffic-free route to the vehicles in order to save life. In this paper two cases are considered, in the initial case, the lane density at the junction will be calculated using ultrasonic sensors by Raspberry pi (Rpi) and the lane with minimal density route will be directed to the emergency vehicle NodeMcu in this case. Considering the assumption that hospital is present near to every lane. And in the second case, the conflict arises when two emergency vehicles are encountered at the same time at a junction, so this conflict is resolved in thispaper.

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