Methods of Determining Traffic Congestion in Cities Using Intelligent Data Analysis Methods

This article will show you the best ways to detect traffic in real-time. Several attempts have been made over the years to predict the traffic scenario accurately and consequently avoiding further congestion. Traffic jams occur in cities as a result of road maintenance, the daily increase in the number of cars and car accidents. As a result, a large part of the time planned for the trip can be wasted due to traffic. Taking these circumstances into account, the article presents a method for determining real-time traffic congestion on roads. In order to accurately and efficiently evaluate the traffic congestion process, our work determines the level of movement relative to the speed of the vehicle moving on the road. The obtained results show that the proposed model is very effective in terms of road traffic estimation. Experimental works of the algorithm were conducted on the basis of data obtained from the Khorezm region of Uzbekistan.

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