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IoT Based Traffic Management using Image Processing


Pranit Maske , Ideal Institute Of Technology; Ashish Gupta, Ideal Institute Of Technology; Prof. Trupti Kini, Ideal Institute Of Technology


Raspberry Pi 3 Model B+, Arduino Mega, Wi-Fi Module, LEDs


In Todays World as we know the population in city are increasing day by day, since the population is increasing the no. of vehicles are also increasing day by day, due to which we are facing heavy traffic issues in our day today life. The main reason behind this is also the traffic management system which is used. Currently in India we are using timer-based Traffic management which allocates particular amount of time to each lane, due to which suppose there is no vehicle on some lane than also time will be allocated to that lane too but there is no need for that, rather we can use that time in some another lane where the no. of vehicles is more. So, our main concept is that we will be controlling traffic light using density-based traffic management, so we have used Image processing in our project which will detect the no. of vehicle in each lane. At first, film of a lane is captured by a camera. A camera is placed on a four-way traffic lane that will capture images of the road on which we want to control traffic. Then these images are processed further to know the traffic density. According to the processed data from open CV, the Raspberry Pi will send the command to the traffic LEDs side controller i.e. Arduino through wireless communication to control the traffic LEDs.

Other Details

Paper ID: IJSRDV7I21173
Published in: Volume : 7, Issue : 2
Publication Date: 01/05/2019
Page(s): 1302-1304

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