Neural network helps to increase the capacity of Tyumen roads

Monitor the number of cars on the roads, see defects in the road surface, assess weather events and automatically adjust the signal to increase traffic on the main highways of the city. All this is done by smart cameras and traffic lights installed in the Tyumen region. And all the information coming from them is analyzed and processed by neural networks. Every driver, sitting behind the wheel of a car, especially during rush hours, thinks only about one thing - not to get into traffic jams, so as not to lose too much time on the way. How to minimize congestion, thinks the automated traffic control system, which has been operating in Tyumen since 2014. Around the clock, the situation on the roads of the city is monitored by specialists of the department of monitoring, prevention and development of traffic lights. If necessary, switch to the so-called manual control mode. The system copes independently and manages flows taking into account the intensity of movement. Completely without human participation, nine systems installed in Tyumen and the Tyumen agglomeration can work. The cameras transmit the signal in real time. Thanks to new developments, it was possible to increase traffic at intersections by 30%. Tyumen residents have already appreciated smart stops: online screens reflect how long to wait for your bus. The intelligent transport system also monitors public transport. Already this year, the app, which displays the movement of city buses, plans to upgrade to make it even more useful and easier to use.

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