Russia Turns to AI for Real-Time Transit Monitoring
A smart city project in Moscow Region uses computer vision to track passenger flows at bus stops, helping reduce wait times and improve public transit efficiency.
The innovative AI platform is now operating in Moscow Region. Powered by computer vision algorithms, it processes live video streams from “Safe Region” surveillance cameras mounted at bus shelters. The system counts waiting passengers, logs time and location, and even identifies the license plates of arriving buses.
All collected data is transmitted around the clock to a digital dashboard at the Regional Control Center. This allows operators to see where delays are happening and how traffic is being managed across the network.
Officials describe the rollout as part of Russia’s broader smart city strategy. By enabling transit managers to respond quickly to demand, the system reduces passenger wait times, boosts comfort, and increases the overall efficiency of public transportation.
