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Key technologies and applications of intelligent dispatching command for high-speed railway in China
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Shuxin Ding, Tao Zhang, Kai Sheng, Yuanyuan Chen, Zhiming Yuan
Railway Sciences | 2023, 2(3) : 336 - 346
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Railway Sciences | 2023, 2(3): 336-346
• Research paper •
Key technologies and applications of intelligent dispatching command for high-speed railway in China
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Shuxin Ding, Tao Zhang, Kai Sheng, Yuanyuan Chen, Zhiming Yuan
Affiliations
  • Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, China
  • Traffic Management Laboratory for High-Speed Railway, National Engineering Research Center of System Technology for High-Speed Railway and Urban Rail Transit, Beijing, China
  • Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, China
  • State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
  • Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, China
  • Traffic Management Laboratory for High-Speed Railway, National Engineering Research Center of System Technology for High-Speed Railway and Urban Rail Transit, Beijing, China
Published: 2023-09-10 doi: 10.1108/RS-06-2023-0023
Outline
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Purpose

The intelligent Central Traffic Control (CTC) system plays a vital role in establishing an intelligent high-speed railway (HSR) system. As the core of HSR transportation command, the intelligent CTC system is a new HSR dispatching command system that integrates the widely used CTC in China with the practical service requirements of intelligent dispatching. This paper aims to propose key technologies and applications for intelligent dispatching command in HSR in China.

Design/methodology/approach

This paper first briefly introduces the functions and configuration of the intelligent CTC system. Some new servers, terminals and interfaces are introduced, which are plan adjustment server/terminal, interface for automatic train operation (ATO), interface for Dynamic Monitoring System of Train Control Equipment (DMS), interface for Power Supervisory Control and Data Acquisition (PSCADA), interface for Disaster Monitoring, etc.

Findings

The key technologies applied in the intelligent CTC system include automatic adjustment of train operation plans, safety control of train routes and commands, traffic information data platform, integrated simulation of traffic dispatching and ATO function. These technologies have been applied in the Beijing-Zhangjiakou HSR, which commenced operations at the end of 2019. Implementing these key intelligent functions has improved the train dispatching command capacity, ensured the safe operation of intelligent HSR, reduced the labor intensity of dispatching operators and enhanced the intelligence level of China's dispatching system.

Originality/value

This paper provides further challenges and research directions for the intelligent dispatching command of HSR. To achieve the objectives, new measures need to be conducted, including the development of advanced technologies for intelligent dispatching command, coping with new requirements with the development of China's railway signaling system, the integration of traffic dispatching and train control and the application of AI and data-driven modeling and methods.

High-speed railway  /  Intelligent dispatching command  /  Intelligent centralized traffic control  /  Key technologies and application
Shuxin Ding, Tao Zhang, Kai Sheng, Yuanyuan Chen, Zhiming Yuan. Key technologies and applications of intelligent dispatching command for high-speed railway in China[J]. Railway Sciences, 2023 , 2 (3) : 336 -346 . DOI: 10.1108/RS-06-2023-0023
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Funding
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  • the National Natural Science Foundation of China(62203468)
  • Young Elite Scientist Sponsorship Program by CAST(2022QNRC001)
  • Foundation of China State Railway Group Co., Ltd.(K2021X001)
  • Foundation of China Academy of Railway Sciences Corporation Limited(2021YJ315)
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Year 2023 volume 2 Issue 3
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Article Info
doi: 10.1108/RS-06-2023-0023
  • Receive Date：2023-06-20
  • Online Date：2026-06-11
  • Published：2023-09-10
Article Data
Affiliations
History
  • Received：2023-06-20
  • Revised：2023-08-09
  • Accepted：2023-08-16
Funding
the National Natural Science Foundation of China(62203468)
Young Elite Scientist Sponsorship Program by CAST(2022QNRC001)
Foundation of China State Railway Group Co., Ltd.(K2021X001)
Foundation of China Academy of Railway Sciences Corporation Limited(2021YJ315)
Affiliations
    Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, China
    Traffic Management Laboratory for High-Speed Railway, National Engineering Research Center of System Technology for High-Speed Railway and Urban Rail Transit, Beijing, China
    Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, China
    State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
    Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, China
    Traffic Management Laboratory for High-Speed Railway, National Engineering Research Center of System Technology for High-Speed Railway and Urban Rail Transit, Beijing, China

Corresponding:

Tao Zhang can be contacted at:
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