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This paper proposes an innovative approach to traffic density estimation. It defines a method that focuses on reducing computational time and complexity by extracting row, column and diagonal mean feature vectors from the image. Then these feature vectors are used to train classifiers and the images are classified as low, moderate or high traffic situations. The system works in 2 phases: Training...