Real Time Traffic Assesment using Image Processing

Abstract

In India, traffic is growing multiple times quicker than the population. Wellbeing of streets has turned into a fundamental issue for governments and transport system for past twenty years. Due to increasing population, number of vehicles also have increased heavily, so vehicles traffic on street has turned into a fundamental issue. To beat these issues, in this article we study different traffic assessment techniques such as image processing by collecting the texture features, machine learning (Naive Bayes classifier, K-Nearest Neighborhood), Artificial Neural Network (ANN) and Deep learning approaches (Deep Neural Network, GSA-DNN). The framework is implemented in MATLAB 2015a and the results shows that it can be considerably applied to real time application for assessing the traffic.