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Image Processing Based Intelligent Traffic Control and Monitoring using IoT


Sanket Munagale , Ashokrao mane group of institute kolhapur; Prof. Dr. M Sankar, Ashokrao mane group of institute kolhapur


Matlab, Image-Processing, Arduino, IoT, Traffic Density


The tremendous change in vehicle fleet size and consequently in the volume of traffic is not followed by increase in the space of the road in all the time. This causes traffic congestion mostly in all the urban areas. So to avoid traffic jams, we need to find a solution. In previous decades many technologies were developed and designed solutions to make road ways safer. Some among these techniques were classic where as other are integrated. New designed systems are capable of informing drivers about the traffic conditions and possible hazards of the road way with the help of intelligent transportation system. This project proposes Internet concepts of Things-based approach that solve problems raised by traffic congestion this gives solution to raising traffic related pollution. This architecture is composed of two modules i.e., hardware module and software module. The system utilizes new technologies for real-time collection, organization and transmission which provide the information to estimate the accurate traffic density exploited by traffic-aware applications.

Other Details

Paper ID: IJSRDV7I10044
Published in: Volume : 7, Issue : 1
Publication Date: 01/04/2019
Page(s): 17-20

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