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.
Real Time Traffic Assesment using Image Processing
16.12.2020
316548 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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