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 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.

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.

Ingenious Traffic Control System with Green Signal Timings Using Image Processing

2020 ◽  
Vol 12 (3) ◽  
pp. 337-341
Author(s):  
Venkateshwaran Ganesh ◽  
C. Sujatha
Keyword(s):  
Image Processing ◽  
Control System ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Green Light ◽  
Daily Routine ◽  
Long Run ◽  
Ir Sensors ◽  
Traffic Control System ◽  
The Voice

In metropolis, traffic congestion affects the daily routine of passengers and in the long run there will be a declination in productivity if such situation is left unaddressed. If an Ambulance, unfortunately, stuck in the middle of congested road, any delay can endanger the life of the patient and, such cases require intelligent, powerful and reliable traffic control system. In this paper, the Infra-Red (IR) Sensors keep track of vehicle density across the lane. The micro-controller in turn, generates the control signals to alter the traffic accordingly. During each transition phase, the Voice Recognition (VR) modules installed on lanes sense the emergency siren and thus temporarily allow passage by turning the signal green for the corresponding lane, while others, being remained at red. Using Image Processing analysis, the exact count of vehicles can be visualized in the Graphical User Interface (GUI) Tool and the green light timings for the consecutive turns can be estimated.

Intelligent Traffic Control System Using Ad-Hoc Wireless sensor Systems

2015 ◽  
Vol 3 (4) ◽  
pp. 333-335
Author(s):  
J. Isaac Henderson ◽  
M. Aravind
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Ad Hoc ◽  
Heavy Traffic ◽  
Wireless Sensor ◽  
Traffic Density ◽  
Data Format ◽  
Infrared Technology ◽  
Traffic Control System ◽  
Signal Time

This paper deals with designing an automatic traffic control  system which works on principle of TRAFFIC DENSITY monitored by  Sensors on each side which provides direct information to microcontroller  which rerforms decision making to allow traffic based on density. The three density zones are low, medium and high. In each zone an ad hoc sensor is placed. Each sensor will check the presence of the vehicle in the zone using infrared technology and then ad hoc sensor sends the data to master ad hoc. To locate the sensor, each sensor of different zone is addressed by user and that address is fed to the master ad hoc sensor. This master ad hoc sensor will arrange the data from various sensors in an 8 bit data format. It then performs the required processing to determine the green signal time for each side. It has an exceptional system for high priority vehicles like ambulance, as it senses the direction of arrival of these vehicles and gives a green corridor. The main advantage over conventional system is that a side with heavy traffic doesn’t have to wait unreasonably while a side with no/less traffic gets an equal  amount of time as that of heavy traffic side which is irascible. This is an improved system based on preference for urgency/density of traffic. This can prove useful in especially Junctions of importance, thereby mediating traffic flow correctly.

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