Digital Simulation Intelligent Training Platform for Rail Transit

Background

The rapid development of urban rail transit has highlighted issues such as low tolerance for operational errors in critical positions and high pressure during emergency response. According to statistics from the International Union of Railways and other organizations, in recent years, 28% of rail transit accidents has been directly or indirectly related to human operational errors, with 70% of themattributed to lack of experience. Meanwhile, traditional training suffers from low environmental realism, insufficient interactivity and other shortcomings, making it difficult to meet current demands.

National and local governments have placed significant emphasis on rail transit vocational skills training and issued a series of policies to support it. The productstrictly adheres to the “National Vocational Skills Standard - Urban Rail Transit Train Dispatcher”,as well as national and industry standards for operational safety and management regulations, ensuringscientific, standardized training contents.

Technical Features

  • High-Precision Simulation

    Adopting digital modeling technology across all disciplines for the entire line environment, the platform enables high-precision simulationthat replicates real operational scenarios to enhance training effectiveness.

  • Comprehensive Scenario Coverage

    The platform covers 12 core positions including dispatchers, duty officers, drivers, and signal operators. It supports both independent operation and collaborative coordination, meetingfull-scenario training requirements.

  • Intelligent Assessment

    The platform enables automated test generation and scoring as well as performance analysis, and supports national competitions, delivering scientific, objective evaluation outcomes.

  • Flexible Customization

    he platform allows for independent editing of training courses and flexible fault scenario configuration, enabling tailored training content and scenarios based on actual needs.

  • Intelligent O&M Coordination

    The platform matches suitable maintenance personnel based on assessment data.It extracts O&M data anduses AI algorithms toautomatically and precisely pushrelevant knowledge, enabling intelligent O&M coordination.

Application Examples

Beijing Subway Yanfang Line FAO Demonstration Platform:The platform provides tailored training courses and scenarios, delivering comprehensive and systematic training services.

Suzhou Metro Multi-Position Training Base:A training facility that incorporates multiple functional areas including a simulated dispatch center, simulated train control room, and simulated driving zone is built to provideall-round, multi-tiered training services.

Guangzhou Metro University Training Base:A training facility that encompasses multiple functional areas including a simulated cockpit and simulated OCC dispatch center is established tooffer multifunctional training services combining skill development, competitions, joint exercises, etc.