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Railway Traffic Control

Research Fields

NEXT-GENERATION RAILWAY TRAFFIC CONTROL

We develop technology to build a world-class smart railway control system utilizing 4th industrial revolution technologies such as big data and artificial intelligence.

Research Fields

  1. Development of Standardized and Integrated CTC Software Technologies
  2. Integration and Standardization of Train Schedule Management Across Signaling Systems
  3. AI-based Automatic Route Control Using Optimized Train Scheduling
  4. Standardization of L/S Screen Symbols and Operator Interface Procedures
  5. Digital Transformation of Operation and Maintenance Functions


Impact

  1. Improve safety and efficient operation by integrating various railway signaling systems into a standardized control system
  2. Establishment of a complete redundancy system between control centers enables uninterrupted control operation in case one system fails to function, improving national emergency response capabilities
  3. Stable expansion of new accepted lines due to improved train operation efficiency, line extension, and infrastructure expansion
  4. Reduce controller work and improve train operation efficiency based on decision-making in railway conflict in conjunction with TMS (AI/Big Data)
  5. Improved efficiency of control work and increased safety of on-site work through computerization of blocking work
  6. Improve control work efficiency by developing integrated on-site and control systems so that local control work can be operated from central control.

TRAIN OPERATION MANAGEMENT SYSTEM

We develop cutting-edge train operation management technologies that support automation of railway control work and improvement of customer service by predicting/optimizing train operation using artificial intelligence and big data 4th industrial revolution technology.

Research Fields

  1. Implementation of AI-powered optimization modules and automation systems to support real-time train schedule processing.
  2. Integration of control operation data and controller-assist functions to enhance efficiency in traffic control centers.
  3. System-driven predictive analytics and information delivery, enabling smarter train management for controllers and improved driving environments for operators.
  4. Real-time, simulation-based analysis of operational conflicts through repetitive scenario testing, ensuring accurate conflict resolution.
  5. Development of micro-simulation models that combine AI and optimization technologies for detailed, predictive rail traffic simulation.

Impact

  1. Improve the efficiency of control work by verifying the train operation plan information of the Korea National Railway and various operators and automatically converting it into a schedule operated by the control system
  2. The effect of minimizing delays in advance by handling railway conflict through real-time and advance simulation of various train operation situations.
  3. Leading effect in the railway control field by introducing AI/big data of the 4th industrial revolution into the control system
  4. Cost reduction and increased operation density through analysis of improved punctuality and energy saving in train operation
  5. Improve on-site response capabilities and minimize the risk of accidents through rapid decision-making in the event of an unusual occurrence.
  6. Reduce human errors through automation of control tasks and continuous performance improvement through the introduction of AI

RAILWAY SAFETY CONTROL & MONITORING

By applying cutting-edge IT and network technologies, we develop real-time integrated railway safety monitoring and control technologies that can monitor safety-related information on railway vehicles, railway stations and facilities in real time focusing on the railway control system and predict and diagnose and control accident risks in advance to control them.

Research Fields

  1. Real-time processing technology for on-site safety information based on big data

  2. Development of scenario-based safety situation monitoring and control technology

  3. Development of map-based integrated monitoring technology for trains and trackside environments

  4. Algorithmic technology for real-time train operation monitoring and accident prevention system based on incident and risk detection


Impact

  1. Enhancing safety and preventing accidents efficiently through risk identification and accident prediction in train operations

  2. Preventing escalation of incidents through early response based on emergency procedures in case of an emergency