An Approach for Traffic Congestion Detection and Traffic Control System

2018 ◽  
pp. 99-108 ◽  
Author(s):  
Tarun Kumar ◽  
Dharmender Singh Kushwaha
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Congestion Detection ◽  
Traffic Control System

scholarly journals Density based Automatic Traffic Junction Synchronization

2019 ◽  
Vol 8 (2) ◽  
pp. 5781-5786
Keyword(s):  
Control System ◽  
Video Processing ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Noise Pollution ◽  
Moving Vehicle ◽  
Metropolitan Cities ◽  
Commuting Time ◽  
Traffic Control System ◽  
Slow Moving

Traffic congestion nowadays has become a chronic issue in the Metropolitan cities due to which it takes more time to travel than the same distance travelled during the off peak hours. This decreases the productivity of an individual by instances such as delayed delivery of services, unnecessary fuel consumption, air and noise pollution, delay in the case of emergency. The traffic congestion has become a predominant problem due to the rapid increase in the demand of vehicles. In places where junctions are closely spaced, encounter a typical issue of lingering in the same traffic signal for multiple times due to the slow moving vehicle caused by congestion. In order to control this issue, research works have been carried out in automating the traffic control system with the help of sensors, image or video processing and also by prioritizing emergency vehicles approaching the junctions. However, employing camera to monitor the traffic is an expensive task. Thus, we are proposing the Density based synchronous of junctions that are closely placed which helps us to save our commuting time significantly and thus enhancing one’s productivity

scholarly journals DENSITY BASED TRAFFIC CONTROLLER SYSTEM USING WIRELESS SENSOR NETWORKS

2021 ◽  
Vol 10 (3) ◽  
pp. 111-116
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Red Light ◽  
Fixed Time ◽  
Wireless Sensor ◽  
Signal System ◽  
Traffic Control System ◽  
Smart Traffic ◽  
Manual Mode

This traffic controller system aims at designing a dynamic automated traffic control system where the signal and time limit will be automatically changed when it detects traffic congestion in any lane. Traffic congestion is a major problem in many cities around the world so it is urgent need to switch over from manual mode or timer mode to an automated traffic control system that has the power to make decisions on its own. The current traffic signal system is working on fixed time which may not work if one route gets more traffic than other lane. To overcome this problem, a smart traffic control system is proposed. When using this system high traffic congestion on a particular lane receives green for a longer period of time compared to the other lanes which has normal vehicle flow. Therefore, the proposed method of providing green and red light time is based on the amount of traffic congestion at the time with the help of an IR sensor and Sound sensors connected to ATmega 2560 Microcontroller.

scholarly journals Adaptive Traffic Light Control Based on Actual Condition Using Google Map API

2019 ◽  
Vol 3 (2) ◽  
pp. 61
Author(s):  
Adi Sabwa Isti Besari Arkanuddin ◽  
Selo Sulistyo ◽  
Anugerah Galang Persada
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Actual Condition ◽  
Light Control ◽  
Traffic Light ◽  
Road Density ◽  
Traffic Light Control ◽  
Traffic Control System ◽  
Google Map Api

Traffic congestion is one of the main problems in transportation sector and it causes a lot of drawbacks to public. The traffic light system is used to reduce the level of occurring traffic congestion. Generally, the available traffic light systems use a fixed time setting. This old traffic control system is no longer able to manage the ever-changing traffic conditions effectively and efficiently, causing a long queue of vehicles. To overcome this problem, a traffic light control system that can adapt to actual conditions of road density and can run automatically is offered. This system utilizes Google Map API as a road density data source. The result of this study is a traffic control system that can adjust the green light time duration based on the obtained density values and density trends, simulation of this adaptive system as well as simulation results analysis. A prototype of this adaptive control system was also produced in this study.

scholarly journals Intelligent Traffic Control System Using ARM7 Controller and Image Processing Techniques

2021 ◽  
Vol 11 (4) ◽  
pp. 2726-2735
Author(s):  
Dr.E.V. Krishna Rao ◽  
N. Alekhya ◽  
K. Rupa ◽  
M. Sai Sujith ◽  
Sk Abdulla Aman Ahmed
Keyword(s):  
Control System ◽  
Time Delay ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Current Model ◽  
Urban Traffic ◽  
Emergency Vehicle ◽  
Traffic Lights ◽  
Alert Message ◽  
Traffic Control System

The urban traffic congestion is being increased day by day due to large number of vehicles are used by dense people in cities. In the current model of the Traffic Control System, the time delay of each signal light is static which leads to lot of waiting time and was tage of fuel. To overcome this problem, intelligent traffic management system of controlling the traffic lights using the ARM 7 controller and camera sensor is proposed. The camera which is installed along the pavement captures the real time video of the road. The video is then processed indifferent stages to find the number of vehicles in that particular lane using Convex hull technique and accordingly the time delay of the traffic signals has been changed dynamically. Incase, if an emergency vehicle like ambulance is detected by RF434 in a particular lane then automatically this lane will be given the highest priority to clear the traffic. Another feature is if any vehicle violates the traffic line that can also be identified by the RFID reader and automatically and an alert message will be sent to registered mobile number through GSM module which is interfaced with LPC2148.

scholarly journals Design on Highway Information Publishing System and Benefit Analysis of Traffic Control System

2011 ◽  
Vol 1 ◽  
pp. 343-347
Author(s):  
Wei Li ◽  
Guo Dong Han
Keyword(s):  
Control System ◽  
Public Transportation ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Information Control ◽  
Control Center ◽  
Shared Information ◽  
Traffic Control System ◽  
Information Publishing

With the purpose of offering dynamic information services for road users, the information publishing scheme is proposed based on variable message sign and variable speed limit sign. And the information publishing system shared information control center with public transportation service system is established. The economic benefit of intelligent traffic control system is quantitatively studied by radar map method for the first time. Research shows that intelligent traffic control system has reached ideal-steady state. The research results reduce traffic congestion and improve the highway utilization and traffic management efficiency.

scholarly journals Swarm Intelligence Based Traffic Control System

2017 ◽  
Vol 7 (2) ◽  
pp. 46
Author(s):  
Bindu Varshini Kosanam ◽  
Abhinay Kukkadapu
Keyword(s):  
Control System ◽  
Swarm Intelligence ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Red Light ◽  
Wait Time ◽  
Traffic Signal ◽  
Traffic Lights ◽  
Traffic Control System ◽  
Six Degrees Of Separation

<div><p class="Abstract"><em>Traffic congestion is one of the major problems in many of metro cities all over the world today. It affects daily life in many aspects such as improper time management, stress, frustration which leads to reckless driving. Average time to reach destination is decided by travel speed which is directly proportional to traffic congestion and also the wait time at each and every traffic signal. In this paper a novel Swarm Intelligence based Traffic Control System (SITS) inspired from nature mimicking (Particle Swarm Optimization) is discussed. This State of the art SITS with Six Degrees of Separation approach to traffic congestion is applying swarm intelligence to traffic lights to avoid waiting of vehicles at red light decreasing wait time and congestion. Here cars will not take random paths or will not take dynamic routes. Six degrees of separation will be employed at each node (traffic signal) to limit computational power and to improve efficiency.</em></p></div>

scholarly journals The Simulation and Prototyping of a Density-Based Smart Traffic Control System for Learning Purposes

2020 ◽  
Vol 16 (12) ◽  
pp. 70
Author(s):  
Mashael Khayyat ◽  
Omar Aboulola ◽  
Nahla Aljojo ◽  
Basma Alharbi ◽  
Nada Almalki ◽  
...  
Keyword(s):  
Control System ◽  
Traffic Flow ◽  
Waiting Time ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Technological Progress ◽  
Smart Cities ◽  
Traffic Control System ◽  
Smart Traffic

<span> With the tremendous technological progress and the widespread use of a variety of technologies, we note how smart cities are providing services efficiently by using technologies. The aim of this project is to build a Smart Traffic Control System (STCS) to facilitate and optimize traffic flow, minimize traffic congestion, and reduce the waiting time by detecting the density on each street. This work has been carried on four phases. Firstly, collecting data by a questionnaire and we received 331 responses. Secondly, using Proteus simulation. Thirdly, building a low fidelity prototype, and fourthly: building the STCS model by using hardware (Arduino tools) and software (Arduino Software IDE). Finally, we learned how to build a system and we recommend using such a system in busy roads to reduced congestion and making traffic flow more efficient.</span>

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