Russia is implementing AI-driven traffic management systems on its railways. According to domestic experts, AI algorithms will enable high-precision train control and improve the reliability of management systems. A mathematical model incorporating multiple traffic management modes has been developed for the "Echelon" train control system, which has two high-speed channels for data exchange between subsystems. This model will form the basis for creating a digital twin of the train traffic control process, pending verification on a testbed locomotive. Digital systems are actively being introduced on Russian railways, with discussions on their effects and development at the "Digitalization in Transport" conference in Moscow on April 25.
AI Enhances Railway Traffic Management in Russia
Edited by: Sergey Belyy1
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