INTELLIGENT TRAFFIC LIGHT CONTROL SYSTEM - A CASE SPECIFIC MODEL FOR REAL TIME IMAGE PROCESSING AS LINKED TO DETERMINATION OF TRAFFIC DENSITY

2020 ◽  
Vol 10 (01) ◽  
pp. 44-52
Author(s):  
Hardik Chaudhary ◽  
Yatharth Chandna

In recent years, traffic Jams has become a serious problem across the globe. Current statistics reveals that, an average person spends around 4-6 months of his/her life by simply waiting for green light during traffic. Also when delay increases, it affects the commuters reach their destination so late resulting in severe consequences on day and day basis. In common, traffic can be controlled in several main junctions by incorporating either automated traffic light control system or through manual intervention by traffic police. However conventional traffic light system which involves fixed time slot allotted to each side of the junction is found to be poor efficient since it does not consider the varying traffic density. At certain instances, priority of the traffic system has to be changed dynamically based on more number of vehicles waiting on the road, arrival of VIP vehicles and ambulance vehicles etc. By considering the above facts, we have proposed an automated traffic light system which has inbuilt potential to prioritize the lane which is heavily congested. Our proposed system includes timer which runs for a specific time period and IR sensor is used to count the number of vehicles passing by during that time period. It also includes LED which is turned green on the lane with more number of vehicles. These peripherals were actuated based on the programming logic that is embedded in Arduino Mega platform. Finally, implementation results for the proposed system are provided in this paper.


2021 ◽  
Vol 1088 (1) ◽  
pp. 012021
Author(s):  
Belinda Chong Chiew Meng ◽  
Nor Salwa Damanhuri ◽  
Nor Azlan Othman

2020 ◽  
Author(s):  
John Leroy A. Damulo ◽  
Randolph Mason D. Dy ◽  
Seth Kendall M. Pestaño ◽  
Drexler C. Signe ◽  
Erlisar E. Vasquez ◽  
...  

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3363-3367

Advancement of technology and increase in population density expands the quantity of vehicles out. This in turn increases the traffic density, which necessitates the well developed traffic controller. This paper explains a microcontroller based traffic control system. To explain about the system a four way junction is considered. In addition to the normal traffic control system, two special cases are also handled in this system. The developed system is dealing problem of highly dense lane.IR sensors are used to detect the density of the vehicles. This system also help to avoid the unnecessary delay for the priority vehicles. RFID technique is used to identify the priority vehicles. An IOT WIFI module is used in this system to display the traffic signal status and to store the traffic data. This traffic data can be processed in future to design the improved adaptive control system


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