Scientists develop a traffic monitoring system based on artificial intelligence

Scientists of South Ural State University have developed a unique intelligent system for monitoring traffic flow using artificial intelligence, which does not require specific recording equipment and can work on almost any type of camera. The system instantly processes data received in real time, unlike existing programs in which processing incurs a delay of up to 10 to 15 minutes. An article on the results of the study was published in the Journal of Big Data. "We have proposed and implemented a modernized system for assessing traffic flows, based on the most recent advances in the detection and tracking of vehicles. Unlike existing analogs, our system recognizes and analyzes in real-time the direction of movement of vehicles with a maximum relative error of less than 10 percent. The closest analogs are able to determine the speed and classify vehicles in only one direction and with the condition of placing the cameras above the traffic flow with an accuracy of 80-90 percent. Operating a neural network allows you to generate up to 400 traffic parameters in real-time at each intersection," says project manager Vladimir Shepelev, associate professor at the Automotive Transport Department of the Polytechnic Institute SUSU.