AI Cuts Bus Wait Times Across Russia
Artificial intelligence is reshaping public transit in Russia, helping cities reduce crowding and keep buses on schedule.
Russia is actively integrating digital technology into its urban infrastructure to improve convenience and safety for residents. In the Moscow region, an AI-powered system now monitors bus stops in real time, tracking passenger congestion. When crowds begin to build, the algorithm automatically adjusts schedules, increases the number of buses, or dispatches larger vehicles.
Moscow Region Transport Minister Marat Sibatulllin confirmed that the system has proven effective in reducing long lines during rush hours.
The busiest bus terminals in the region are now equipped with cameras from Safe Region—a unified video surveillance system designed to enhance public safety. The AI counts passengers at each stop, pinpoints their location, and sends the data for analysis, alerting operators to overcrowded areas. It also tracks buses along their routes and flags delays or schedule deviations.
Similar technologies are being deployed across Russia. In Nizhny Novgorod, a neural network identifies overcrowded stops by analyzing the number of waiting passengers, while in Kaluga, an AI algorithm will soon ensure that trolleybuses stay on schedule.
