VANET networks are designed to reduce traffic accidents as well asand to inform drivers of the state of the road, by sending beaconsbeacon messages between them. The possibility of eavesdropping on beacons is available because of the wireless environment, which caused some concerns among drivers because of the possibility of tracking the vehicle and knowing the locations visited by the vehicle. A privacy system based on the use of blending areas has been proposed, in addition to using speed as a blending context to assemble vehicles, the. The vehicle changes its alias according to its speed when it exits the blending area, the. The proposed algorithm has been studied on small blending areas and large blending areas using SUMO, OMNET ++ and Veins. Applying the proposed algorithm to small mixing areas gives a higher level of privacy compared to applying it to large mixing areas, but small mixing areas suffer from overload on the network due to the increased number of nickname changes by vehicles.