AI Cameras in Moscow Now Flag Parking That Blocks Traffic
Moscow has begun using AI-powered traffic cameras to detect a new category of violations—parking or stopping in places where a vehicle obstructs other road users.

Moscow’s traffic management center has introduced AI-enabled cameras that can identify vehicles stopping or parking in locations that impede traffic flow. Drivers face a fine of 3,000 rubles (about $36) for such violations.
Final decisions in disputed situations are made by the staff member
According to the city’s traffic authority, the system works in stages. First, the camera detects a vehicle that has stopped in a problematic area—for example, blocking an exit from a parking lot or obstructing pedestrian movement on a sidewalk. The software then evaluates the duration, context, and consequences of the stop. If the vehicle remains for more than one minute and creates an obstruction, the data is passed to a human operator for review. After verification, the materials may be sent to the traffic police for official processing.
If the stop lasts less than a minute or occurs due to congestion, no violation is recorded. In unclear cases, footage is stored but not forwarded—preserving the presumption of innocence.
At present, the intelligent cameras are deployed on only one section of road. However, officials note that early results are promising and expansion is planned.
Part of a Broader Strategy
These AI-powered cameras are part of Moscow’s broader push to digitize traffic control. They complement existing systems that monitor license plates, bus-lane violations, red-light running, and speeding.
Bannig "Quick Stops"
For drivers, the shift means that routine “quick stops” with hazard lights may now be flagged automatically. For the city, the technology offers a tool to make streets clearer, traffic smoother, and enforcement more consistent.
Officials say the system illustrates how digital tools are increasingly embedded in urban infrastructure, reducing subjective judgment in enforcement.








































