Metro Safety

The Moscow Metro has started testing an intelligent system for detecting human falls on railroad tracks. The new solution is designed to instantly detect dangerous situations on the platform and to automatically send signals to the traffic control center.

It is based on a complex of video cameras and analytical software that analyzes passenger behavior in real time, with the algorithms recognizing characteristic signs of a person falling or being within the train’s movement envelope, and generating an alarm message without operator intervention. The system can then automatically send an emergency braking command or prevent the train from leaving the station.

Its principal objective is to reduce the response time to incidents. While detection previously occurred after visual confirmation by duty personnel, now the process will take a fraction of a second, thus significantly improving passenger safety and minimizing the likelihood of critical consequences.

In addition to its protective function, this technology is regarded as a key element in transition to unmanned control of rolling stock It is crucial for autonomous trains to have independent platform space monitoring systems that can make decisions without the driver’s participation. Intelligent video surveillance will essentially act as an ‘electronic observer’ monitoring the train’s movement area.

According to transport experts, the implementation of such systems will be a binding standard on lines with automated train operation They are to ensure the necessary level of safety while reducing traffic intervals and increasing the metro throughput capacity.

Testing will continue at several stations, after which the developers will decide whether the technology can be scaled up. If successful, the system may become a core part of the infrastructure for future driverless metro lines.