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Vehicle detection and classification of routes based on traffic congestion play an important role for improving traffic condition and fuel conservation, an important research area in Intelligent Transport Systems. In this study, an attempt has been made to develop a real-time traffic monitoring system that selects less congested route. This involves capturing image frames from video taken with a fixed camera, mounted at an elevated position. This allows monitoring the traffic flow of a fixed segment of road. Input video frames are checked to calculate speed and density of traffic. Based on the combination of traffic speed and density, routes are assigned different traffic congestion levels.
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