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Smart Traffic Light System Time Prediction Using Binary Images

Annapureddy Bhavani, Sandeep Verma, S. Vikram Singh, Suman Avdhesh Yadav

20222022 3rd International Conference on Intelligent Engineering and Management (ICIEM)39 citationsDOI

Abstract

In current circumstances, congestion in traffic is a major issue. Due to traffic congestion, many people didn’t reach their destination place in a pre-defined time. This may lead to loss of job opportunity, miss of journey, etc. Many algorithms had been developed for reducing the congestion problem in traffic. They are working well in day times but those algorithms didn’t give precise results at night times. So a new algorithm is developed by using image processing in this paper that will give precise results at night times also. This is done by isolating the RGB image into its individual channels and converting each channel to binary images with different thresholds for vehicle identification. Based on the results, the density of traffic is estimated and compared with the reference one with no traffic to get the allowed time for the green light to glow. So the allowed time is completely dependent on the density of the traffic.

Topics & Concepts

Computer scienceChannel (broadcasting)RGB color modelReal-time computingTraffic congestionBinary numberIdentification (biology)Traffic congestion reconstruction with Kerner's three-phase theoryComputer networkSimulationComputer visionArtificial intelligenceTransport engineeringEngineeringMathematicsArithmeticBotanyBiologyVideo Surveillance and Tracking MethodsCurrency Recognition and DetectionIndustrial Vision Systems and Defect Detection
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