The principal aim of this paper is to solve the problem of traffic saturation, in using only GPS on board of vehicles and servers in a station for the control, without deploying camera or more materials on roads. GPS takes a large region into account. The challenge is to reduce materials effectively deployed on board of vehicules and on roads. This paper deals with the application of the Hough transform method to the automatic detection of traffic saturation and monitoring in order to prevent drivers for traffic saturation. The Hough Transform method establishes a relation between an image space and a parameter space in 2D. In a map, Some main roads have been identified by their coordinates in the accumulator. The Hough Transform method is applied to the Cartesian coordinates of GPS coordinates for vehicles to determine the number of votes around the coordinates of main roads in the accumulator. The number of votes around main road coordinates shows saturation roads and drivers will receive a voice message to change directions. Forward, the method could be an alternative to elaborate a solution to fight against Covid-19 to detect the presence of the crowd in a street based on GPS.

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