scholarly journals Circuitry and Proof of Concept for an Adaptive Traffic Control System

2021 ◽  
Vol 9 (VI) ◽  
pp. 4063-4067
Author(s):  
M Vaishnavi
Keyword(s):  
Image Processing ◽  
Control System ◽  
Open Source ◽  
Real Time ◽  
Traffic Control ◽  
Proof Of Concept ◽  
The Road ◽  
Traffic Control System ◽  
On The Road ◽  
Adaptive Traffic Control

This paper illustrates the circuitry and proof of concept of a novel density based traffic mitigating system for the vehicles. The intention of this paper is to make an adaptive signalling system, which can be optimally used in real-time. This project is accomplished with the help of NVIDIA Jetson Nano and utilizes python for image processing as open source in order to measure the size of the traffic on the road.

Real-Time Implementation of Adaptive Traffic Control System using IoT

2021 ◽  
Author(s):  
Mustafa Shakir ◽  
Sohaib Aslam ◽  
Syed Abdul Wali ◽  
Fakharul Zaman ◽  
Muhammad Qaiser ◽  
...  
Keyword(s):  
Control System ◽  
Real Time ◽  
Traffic Control ◽  
Traffic Control System ◽  
Adaptive Traffic Control

scholarly journals Design and Development of Traffic Control System using Image Processing

2021 ◽  
Vol 9 (VI) ◽  
pp. 3247-3252
Author(s):  
G. Kalyan
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Red Light ◽  
Traffic Density ◽  
The Road ◽  
Real Time Traffic ◽  
On The Road

Traffic congestion is now a big issue. Although it seems to penetrate throughout the world, urban towns are the ones which are most effected. And it is expanding in nature that it is necessary to understand the density of roads in real time to better regulate signals and efficient management of transport. Various traffic congestions, such as limited capacity, unrestricted demand, huge Red Light waits might occur. While insufficient capacity and unlimited demand are somehow interconnected, their delay in lighting is difficult to encode and not traffic dependant. The necessity to simulate and optimise traffic controls therefore arises in order to better meet this growing demand. The traffic management of information, ramp metering, and updates in real-time has been frequently used in recent years for image processing and monitoring systems. An image processing can also be used for the traffic density estimation. This research describes the approach for the computation of real-time traffic density by image processing for using live picture feed from cameras. It focuses also on the algorithm for the transmission of traffic signals on the road according to the density of vehicles and therefore aims to reduce road congestion, which reduces the number of accidents.

Intelligent traffic control system based on open IoT and machine learning

2020 ◽  
pp. 1-12
Author(s):  
Jiaona Chen ◽  
Hailong Liu
Keyword(s):  
Machine Learning ◽  
Control System ◽  
Traffic Control ◽  
Road Traffic ◽  
Control Process ◽  
Vehicle Speed ◽  
Smart Transportation ◽  
The Road ◽  
Traffic Control System ◽  
On The Road

Smart transportation relies on data collection, transmission, processing, and release, involving various terminal devices, control systems, central platforms, and communication links, so its control process is more complicated. In order to improve the operation efficiency of the intelligent traffic control system, based on the open Internet of Things and machine learning, this paper builds an intelligent three-way intelligent traffic control system, sets various parameters, and builds a simulation model using cellular automata as a platform. Moreover, in order to study the performance of the model, the model constructed in this paper is compared with the model of the traditional road traffic control system. In addition, this paper analyzes the model constructed in this paper through the statistics of the highest vehicle flow on the road and the relationship between road occupancy and vehicle speed. The research results show that the model constructed in this paper has good performance and can be applied to intelligent traffic control.

scholarly journals Intelligent Traffic Control System with Priority to Emergency Vehicles

2021 ◽  
Vol 9 (VII) ◽  
pp. 413-418
Author(s):  
Arshiya .
Keyword(s):  
Image Processing ◽  
Control System ◽  
Traffic Control ◽  
Time Delays ◽  
Large Time ◽  
Emergency Case ◽  
The Road ◽  
Traffic Intersections ◽  
Emergency Vehicles ◽  
Traffic Control System

In static road dividers the number of lanes on either side of the road is fixed and cannot be extended. This can be a major problem during peak traffic hours. The situation is abysmal when emergency vehicles are required to wait for other vehicles to give way at traffic intersections. This causes large time delays and may affect the emergency case. These traffic issues faced by emergency vehicles and daily commuters can be avoided by using this proposed traffic control system based on image processing and IoT. As a result, this project successfully analyzes and implements an Intelligent traffic control system with priority given to emergency vehicles.

scholarly journals A Smart Traffic Control System Using Image Processing: A Review

2020 ◽  
Vol 55 (1) ◽  
Author(s):  
Shaimaa Abbas Fahdel Al-Abaid
Keyword(s):  
Image Processing ◽  
Control System ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Traffic Accidents ◽  
Traffic Density ◽  
Image Processing Techniques ◽  
Traffic Control System ◽  
On The Road ◽  
Processing Techniques

The global population and number of vehicles on the road are continuously increasing. Currently, most countries around the world face traffic problems. One of the major causes of such problems is ineffective traffic management such as greenhouse emissions, traffic accidents, health damages and time spent, resulting in frequent traffic congestion at major intersections. Therefore, an effective management system is needed to smartly handle traffic congestion on streets, highways, and roads. In the present study, we aimed to evaluate different traffic control systems and their image processing techniques to help manage traffic density. We created a model for a traffic control system based on information received from images of roads taken by a video camera and image processing techniques used to control traffic congestion on roads.

scholarly journals IoT Based Traffic Control System using Image Processing

2021 ◽  
Vol 9 (VII) ◽  
pp. 317-321
Author(s):  
Mr. Sachin Tyagi
Keyword(s):  
Image Processing ◽  
Control System ◽  
Real Time ◽  
Traffic Control ◽  
Traffic Management ◽  
Raspberry Pi ◽  
Traffic System ◽  
Traffic Efficiency ◽  
Real Time Traffic ◽  
Traffic Control System

In the current scenario we can see that the traffic jam has become a serious problem in rapidly growing cities (As per their population) of India by which there is increase in air pollution, Fuel consumption as well as vehicular density. So there is a requirement to find a new way for traffic controlling traffic system which will be managed through real time IoT based traffic control system using image processing. This is a smart traffic management system that is designed to control real time traffic system which consist of components of Raspberry Pi, Pi camera. Raspberry pi is the key component which is used to control all performance multitasking. By using cameras, we monitor different lanes constantly. Image processing is used to examine detection and counting no. of vehicles in different lanes. It increases the traffic efficiency and clearance. The signal light will be decided as per the no. of vehicle count using image processing.

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