scholarly journals Real-Time Traffic Control System using Fuzzy Logic based Edge Detector for Images

2015 ◽  
Vol 119 (14) ◽  
pp. 26-32
Author(s):  
Sreemana Datta ◽  
Joydeep Mukherjee
1994 ◽  
Vol 27 (12) ◽  
pp. 1019-1022
Author(s):  
He Guoguang ◽  
Ma Shoufeng ◽  
Lu Baichuan

Author(s):  
Sweety Jain ◽  
Anushka Singh ◽  
Shweta N. Shah ◽  
Roshna Lalam ◽  
Deeksha Saxena

Author(s):  
Mr. Sachin Tyagi

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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